PSYCHOLOGICAL PROCESS IN SENSORY EVALUATION ON ODORS FROM BUILDING MATERIAL

Size: px
Start display at page:

Download "PSYCHOLOGICAL PROCESS IN SENSORY EVALUATION ON ODORS FROM BUILDING MATERIAL"

Transcription

1 PSYCHOLOGICAL PROCESS IN SENSORY EVALUATION ON ODORS FROM BUILDING MATERIAL Akihisa Takemura 1, Toshio Yamanaka 1, Hisashi Kotani 1, and Takeshi Tomita 2 1 Department of Architectural Engineering, Graduate School of Engineering, Osaka University, Japan 2 Kajima Corporation, Japan ABSTRACT There are a lot of aspects for evaluation of odor. Not only the hedonics aspects but also the pleasantness aspects are very important for the building design. Authors have investigated the sensory evaluation of odor from building materials and turned our attentions to the psychological process of odor evaluation. In this paper, odors emitted from four building materials that is wood, wood flooring, Tatami (Japanese traditional rush mat) and concrete were adopted and the sensory evaluation tests by human subjects were conducted. Odor intensity, hedonics, preference and acceptability were voted by ten young subjects. The impressions of odor represented by familiarity, freshness, complexity and warmness were evaluated as well. The correlations of each evaluation were investigated and tried to make a model of the psychological process of sensory evaluation by means of multiple regression analysis. As a result, odor acceptability was proved to be largely influenced by odor intensity, secondly the hedonics of odor led the evaluation of acceptability. Odor impressions decide the hedonics of odor, and especially the familiarity and complexity were proved to be the important factors. KEYWORDS Odor, Sensory evaluation, Psychological process, Tatami, Acceptability INTRODUCTION People spend long time indoors. The odor from the building materials is supposed to have a large effect on judging the quality of the indoor environment. In this study, the effect of the odor from the building materials on the sensory evaluation of the person in a room is investigated for the purpose of helping a better indoor environment design. To design the indoor environment, it is important to reveal the relation between the odor concentration and the odor sensation. The relation between the odor dilution factor and acceptability about the nylon carpet, linoleum, polyolefine and sealant was investigated. (Knudsen (1998)) The impact of temperature and humidity on odor intensity and acceptability was investigated about the PVC flooring, carpet, floor varnish, wall paint and sealant.(fang (1998a,b)) It is, however, necessary to investigate the detailed structure of sensory evaluation. In this paper the relation between the odor concentration and the five aspects that are intensity, hedonics, preference, impression and acceptability is discussed. The relation between each aspect is also investigated. The psychological process of sensory evaluation was investigated, based on the result of multiple regression analysis. METHOD Subjects Ten male subjects between the age of 22 and 26 years old had passed the T&T olfactometer, which was used as subjects of sensory evaluation test in Japan. Corresponding Author: Tel: , Fax: address: takemura_akihisa@arch.eng.osaka-u.ac.jp

2 Samples Five building materials which were two types of woods, wood flooring, Tatami (Japanese traditional rush mat) and concrete were selected because they were generally used in buildings. The white cedar from conifers and oak from broadleaf trees were used as woods. F three star grade of wood flooring was selected. (It is the former standard of JAS Fc0; the criteria emission is lower 0.5mg/L (average), 0.7mg/L about formaldehyde) Concrete was poured with water of 150cc in order to assume the condition of rain. Method Each sample was put into the airtight chamber in which the air was mixed inside it. One hour later, the sampling odor was extracted into the sampling bag by the fleks pump; which has a noncontact structure between the sampling odor and the pump, and is often used in odor experiments in Japan. The sampling bags were set in the chamber in order to avoid infiltration (see Fig.1). The sampling odor was diluted by the three times (1, 3, 10, 30, 100 and only for the white cedar, 300) into the odor bag. Consequently 26 pieces of the odor bag were prepared in all. Procedure The experimental procedure is shown in Fig.2. Subjects were given the instruction before the start of the each experiment. Subjects smelled 26 odor bags in random order for one experiment. The sensory evaluation scales are shown in Table1. The scale of intensity was the six point scale as the interval scale which is derived from Ohsako (1991). The scales of hedonics and preference were the nine point scale. About impression, the seven point scales were selected as suitable for the four factors; familiarity, freshness, complexity and warmness which had been investigated in Tomita (2001). About acceptability, subjects were requested to answer whether they would accept the odor or not if they stayed in a room filled with it for a long time. After sensory evaluation, the sampling odor concentration of each sample was measured according to the triangle odor bag method. The experiment was conducted three times. RESULTS From the result of the triangle odor bag method,the odor thresholds and odor concentrations were determined as the geometric mean of the concentrations of three times experiments. (see Table2) Table 1 Scales for sensory evaluation scale Figure 1. Odor extracting method Table 2 Odor concentration of each case Figure 2. Experimental procedure

3 About sensory evaluation value, 2 tops and bottoms of the 10 evaluation value were cut and 6 evaluation value of each three time experiment was summed up,that is 18 sensory evaluation value was used. Relation between odor concentration and each evaluation Fig.3 shows relation between odor concentration and five aspects of sensory evaluation which are intensity,hedonics,preference,impressions (familiarity, freshness, complexity and warmness) and acceptability about five samples. In Fig.3, the frequency of evaluations is expressed as areas of a circle, and the median values of evaluations as lines. In the part of intensity, the regression lines of the average values by least square method are shown as bold lines. In the part of the acceptability, two regression curve by the logit model for each sample (solid line) and for kitchen garbage (by Mitsuda (1996))(dotted line) were shown. (1) Intensity It is found that the intensity increases with increasing the odor concentration. The regression line is consistent with 50 percentile plot line in all cases. It can be said that intensity is proportional to the logarithm of odor concentration. The slope of the regression line is different for each case. (2) Hedonics and preference It is found that the hedonics decreases with increasing the odor concentration in the case of white cedar, oak, Tatami and concrete. This tendency is opposite in the case of wood flooring. It is found that the tendency of preference evaluation is similar to the hedonics. (3) Impressions It is found that the familiarity decreases with increasing the odor concentration in the cases of white cedar,oak,tatami and concrete. The relation is opposite in the case of wood flooring. This tendency is Figure 3. Relation between odor concentration and five aspects

4 almost the same as ones of hedonics and preference. It is found that freshness and complexity increase with increasing odor concentration in all cases. The complexity of Tatami is higher than the other cases. It is found that warmness is not so much related to the odor concentration. (4) Acceptability It is found that the percentage of person unaccepted increases with increasing odor concentration in all cases. In the case of wood flooring, the percentage of person unaccepted is low in high concentration. In the case of Tatami the percentage of person unaccepted is high in low concentration. The logit model would apply to the cases of white cedar, oak and concrete. It is necessary to store more data in order to apply the logit model to the case of Tatami. The case of concrete is much similar to that of kitchen garbage. In the cases of white cedar and oak, the percentage of person unaccepted is lower than that in the case of kitchen garbage in the same concentration. Relation between evaluations Relations between each evaluation are shown in Fig.4 to Fig.7. The frequency of evaluations is expressed in areas of a circle, and the correlation coefficient is shown in the figures. Figures are shown by the 30 evaluation values which are not cut. (1) Relation between intensity, hedonics and preference Fig.4 shows relation between intensity and hedonics for five samples. There is negative and strong correlation in Tatami. There is negative and slightly strong correlation in the case of concrete. Relation between intensity and preference shows the same tendency as relation of intensity and hedonics, therefore the figure is omitted. Fig.5 shows relation between hedonics and preference for five samples. There is positive and very strong correlation in all cases. Figure 4. Relation between intensity and hedonics Figure 5. Relation between preference and hedonics (2) Relation between intensity, hedonics and preference and impressions Fig.6 shows relation between intensity and familiarity which is one factor of the impression, for five samples. There is positive and strong correlation in the case of Tatami. There is positive and slightly strong correlation in concrete. About relation between freshness and intensity, there is positive and slightly strong correlation in white cedar and wood flooring.

5 About relation between complexity and intensity and that of warmness and intensity, there is little correlation in all cases (The figures are omitted about freshness, complexity and warmness.). Fig.7 shows relation between familiarity and hedonics for five samples. There is positive and very strong correlation in all cases. About the relation between freshness and hedonics, there is positive and slightly strong correlation in oak, wood flooring and concrete. About relation between complexity and hedonics, there is no correlation in all cases. About relation between warmness and hedonics,there is positive and slightly strong correlation in wood flooring and concrete (figures are omitted about freshness, complexity and warmness.). Relation between impression and preference shows almost the same tendency as relation between impression and hedonics, the figure is omitted. Figure 6. Relation between intensity and familiarity Figure 7. Relation between familiarity and hedonics Figure 8. Relation between intensity and acceptability (3) Relation between acceptability and intensity, hedonics, preference and impression It was indicated that intensity is proportional to the logarithm of odor concentration and that the logit model can apply to the relation between acceptability and odor concentration. From these results, the equations shown in Fig.8 are derived, which is the logit model of the relation between acceptability and intensity. Fig.8 is expressed by the average plots of 18 sensory evaluation value which 2 tops and bottoms from the 10 evaluation values were cut and 6 evaluation values of each three times

6 experiments were summed. The logit model can apply to this correlation. Therefore it can be said that the percentage of person unaccepted can be predicted from the evaluation of intensity, without measuring odor concentration. Fig.9 shows relation between acceptability and familiarity. There is a decrease in the percentage of person unaccepted decreases with increase of familiarity in all cases. About relation between acceptability and complexity, there is a increase in the percentage of person unaccepted increases with increase of complexity in all cases. About relation between acceptability and freshness and relation between acceptability and warmness, there is no correlation in all cases. The figures about freshness, complexity and warmness were omitted. Figure 9. Relation between familiarity and acceptability Fig.10 shows relation between acceptability and hedonics. There is a decrease in the percentage of person unaccepted with increasing hedonics in all cases. The relation between acceptability and preference shows similar tendency as this result (the figures are omitted). Figure 10. Relation between hedonics and acceptability DISCUSSION Psychological Process of Sensory Evaluation The psychological process of sensory evaluation was investigated from results above mentioned. The procedure is as follows (see Fig12). (1) Assumed that the quality of odor is made from odor concentration and selection of building material. (2) Acceptability was considered as the final evaluation. (3) Preference was considered as nearly equal to hedonics. (4) It was investigated where intensity, hedonics and impressions are located between (1) and (2), by the means of multiple regression analysis. Here, the evaluation scales for this investigation are necessary to be an interval scale because of analyzing by the multiple regression method. It was investigated that the scales of intensity, hedonics, preference and impressions are equal interval by the method of successive categories. Fig.11 shows the relation between primary category scale and theoretical interval scale by method of successive

7 categories, and the correlation coefficient between them. All values of the correlation coefficient are almost 1. Although in the scale of intensity the line becomes gentle with increasing primary scale, the scales of intensity, hedonics, preference and impressions can be considered as interval scales. Two steps of multiple regression analysis were conducted as follows. (5) Acceptability was adapted as a target variable, intensity and hedonics as an explanatory variable. ((a) in Fig.12) (6) Hedonics was adapted as a target variable, impressions as an explanatory variable. ((b) in Fig.12) Fig.12 shows a model of the psychological process of sensory evaluation based on these results. The standard partial regression coefficients are shown in the figure. Acceptability is determined by intensity and hedonics with the ratio about 6:5. Impressions which are Figure 11. Relation between primary category and theoretical interval scale (2) (5) (3) (4) (6) (1) Figure 12. A model of the psychological process of sensory evaluation (Value shows the standard partial regression coefficient, and number with parenthesis shows the procedure of investigation.)

8 familiarity, freshness, complexity and warmness determine hedonics with the ratios about 6:2:5:2. CONCLUSIONS Relation between odor concentration and sensory evaluations of odor from building materials Intensity was proportional to the logarithm of odor concentration. The slope of the regression line was different from each material. Hedonics, preference and familiarity decrease with increasing the odor concentration in white cedar, oak, Tatami and concrete. The relation is reversed in wood flooring. Freshness and complexity increases with increasing odor concentration in all cases. Warmness is not so much related to the odor concentration. The percentage of person unaccepted increases with increasing odor concentration in all cases, and the logit model would apply to white cedar, oak and concrete. The relation between sensory evaluations Intensity and hedonics; negative correlation was seen in Tatami and concrete. Preference and hedonics; positive and very strong correlation was seen in all materials. Intensity and familiarity; positive correlation was seen in Tatami and concrete. Familiarity and hedonics; positive and very strong correlation was seen in all cases. Freshness and hedonics; positive correlation was seen in oak, wood flooring and concrete. Complexity and hedonics; no correlation was seen in all cases. Warmness and hedonics; positive correlation was seen in wood flooring and concrete. Intensity and acceptability; the percentage of person unaccepted increases with increasing intensity in all cases. The logit model can apply to this correlation. Therefore it could be said that the percentage of person unaccepted was predicted from the measurement of intensity, without measuring odor concentration. Familiarity and acceptability; the percentage of person unaccepted decreased with increasing familiarity in all cases. Freshness and acceptability; no correlation was seen in all materials. Complexity and acceptability; the percentage of person unaccepted increased with increasing complexity in all materials. Warmness and acceptability; no correlation was seen in all materials. Hedonics and acceptability; the percentage of person unaccepted decreased with increasing hedonics in all materials. Consequently, a model of the psychological process of sensory evaluation was shown. REFERENCES 1. H.N.Knudsen O.Valbjorn P.A.Nielsen (1998) Determination of Exposure-Response Relationships for Emissions from Building Products", Indoor Air 1998, 8, L.Fang, G.Clausen, P.O.Fanger(1998a) Impact of Temperature and Humidity on the Perception of Indoor Air Quality, Indoor Air 1998, 2, L.Fang, G.Clausen, P.O.Fanger(1998a) Impact of Temperature and Humidity on the Perception of Indoor Air Quality During Immediate and Longer Whole-Body Exposures, Indoor Air 1998, 4, M.Ohsako(1991) Study on evaluation of environmental odor based on modeling of olfaction", Ph.D thesis Kyoto university (in Japanese). 5. T.Tomita T.Yamanaka H.Kotani M.Matsuo (2001) Sensory evaluation of odor from building material Part.4 Impression of odor and relationship between evaluations of odor",summaries of technical papers of annual meeting of AIJ, D-2, (in Japanese) 6. M.Mitsuda(1996) Study on evaluation and control method of evaluation of odor from garbage", Ph.D thesis Nara Women's university (in Japanese)

Understandable Statistics

Understandable Statistics Understandable Statistics correlated to the Advanced Placement Program Course Description for Statistics Prepared for Alabama CC2 6/2003 2003 Understandable Statistics 2003 correlated to the Advanced Placement

More information

Development of a new loudness model in consideration of audio-visual interaction

Development of a new loudness model in consideration of audio-visual interaction Development of a new loudness model in consideration of audio-visual interaction Kai AIZAWA ; Takashi KAMOGAWA ; Akihiko ARIMITSU 3 ; Takeshi TOI 4 Graduate school of Chuo University, Japan, 3, 4 Chuo

More information

ACTUAL SITUATION OF VENTILATION DESIGN AND EVALUATION USING CONTAMINATION AREA RATIO OF SMOKING ROOMS

ACTUAL SITUATION OF VENTILATION DESIGN AND EVALUATION USING CONTAMINATION AREA RATIO OF SMOKING ROOMS Proceedings of BS215: ACTUAL SITUATION OF VENTILATION DESIGN AND EVALUATION USING CONTAMINATION AREA RATIO OF SMOKING ROOMS Noriko Umemiya 1, Satoshi Hirata 1, Ayako Fujita 1 and Tomohiro Kobayashi 1 1

More information

Feeling. Thinking. My Result: My Result: My Result: My Result:

Feeling. Thinking. My Result: My Result: My Result: My Result: Source of Energy [P]erception of Info [J]udgment of Info External Lifestyle Where You Process How You Inform How You Make How Others See Your Decision-Making Extraverted intuitive Feeling Judging Introvert

More information

Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points.

Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points. Part 1. For each of the following questions fill-in the blanks. Each question is worth 2 points. 1. The bell-shaped frequency curve is so common that if a population has this shape, the measurements are

More information

Survey on sound environment in classrooms during school hours for hearing impaired students

Survey on sound environment in classrooms during school hours for hearing impaired students Survey on sound environment in classrooms during school hours for hearing impaired students Keiko Nishizawa a, Tetsuya Sakuma b a,b Institute of Environmental Studies, The University of Tokyo, 7-3-1 Hongo,

More information

Effects of moisture condition and internal water movement on penetration property of chloride ion in concrete

Effects of moisture condition and internal water movement on penetration property of chloride ion in concrete Effects of moisture condition and internal water movement on penetration property of chloride ion in concrete Kentaro KOIKE 1, Toshinobu YAMAGUCHI 1, Koji TAKEWAKA 1 1 Kagoshima University, Japan * k279773@kadai.jp,

More information

A Study on the Effect of Inspection Time on Defect Detection in Visual Inspection

A Study on the Effect of Inspection Time on Defect Detection in Visual Inspection A Study on the Effect of Inspection Time on Defect Detection in Visual Inspection Ryosuke Nakajima 1,*, Keisuke Shida 2, and Toshiyuki Matsumoto 1 1 Aoyama Gakuin University, Kanagawa, Japan d5613005@aoyama.jp,

More information

AP Statistics Practice Test Ch. 3 and Previous

AP Statistics Practice Test Ch. 3 and Previous AP Statistics Practice Test Ch. 3 and Previous Name Date Use the following to answer questions 1 and 2: A researcher measures the height (in feet) and volume of usable lumber (in cubic feet) of 32 cherry

More information

II Explanation of the Environment Agency Notification, "Determination of odor index and odor emission rate"

II Explanation of the Environment Agency Notification, Determination of odor index and odor emission rate II Explanation of the Environment Agency Notification, "Determination of odor index and odor emission rate" Chapter 1 Panel 1. Standard odor solutions No. 1 Panel The panel (a group of persons who judge

More information

Effect of vibration sense by frequency characteristics of impact vibration for residential floor

Effect of vibration sense by frequency characteristics of impact vibration for residential floor Architectural Institute of Japan Translated Paper Effect of vibration sense by frequency characteristics of impact vibration for residential floor Ryuta Tomita and Katsuo Inoue Department of Architecture,

More information

CONTRIBUTION OF DIRECTIONAL ENERGY COMPONENTS OF LATE SOUND TO LISTENER ENVELOPMENT

CONTRIBUTION OF DIRECTIONAL ENERGY COMPONENTS OF LATE SOUND TO LISTENER ENVELOPMENT CONTRIBUTION OF DIRECTIONAL ENERGY COMPONENTS OF LATE SOUND TO LISTENER ENVELOPMENT PACS:..Hy Furuya, Hiroshi ; Wakuda, Akiko ; Anai, Ken ; Fujimoto, Kazutoshi Faculty of Engineering, Kyushu Kyoritsu University

More information

Chapter 3 Review. Name: Class: Date: Multiple Choice Identify the choice that best completes the statement or answers the question.

Chapter 3 Review. Name: Class: Date: Multiple Choice Identify the choice that best completes the statement or answers the question. Name: Class: Date: Chapter 3 Review Multiple Choice Identify the choice that best completes the statement or answers the question. Scenario 3-1 The height (in feet) and volume (in cubic feet) of usable

More information

Unit 1 Exploring and Understanding Data

Unit 1 Exploring and Understanding Data Unit 1 Exploring and Understanding Data Area Principle Bar Chart Boxplot Conditional Distribution Dotplot Empirical Rule Five Number Summary Frequency Distribution Frequency Polygon Histogram Interquartile

More information

Practice First Midterm Exam

Practice First Midterm Exam Practice First Midterm Exam Statistics 200 (Pfenning) This is a closed book exam worth 150 points. You are allowed to use a calculator and a two-sided sheet of notes. There are 9 problems, with point values

More information

A Study on the Effect of Inspection Time on Defect Detection in Visual Inspection

A Study on the Effect of Inspection Time on Defect Detection in Visual Inspection A Study on the Effect of Inspection Time on Defect Detection in Visual Inspection Ryosuke Nakajima, Keisuke Shida, Toshiyuki Matsumoto To cite this version: Ryosuke Nakajima, Keisuke Shida, Toshiyuki Matsumoto.

More information

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE

inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering August 2000, Nice, FRANCE Copyright SFA - InterNoise 2000 1 inter.noise 2000 The 29th International Congress and Exhibition on Noise Control Engineering 27-30 August 2000, Nice, FRANCE I-INCE Classification: 6.3 PSYCHOLOGICAL EVALUATION

More information

REGRESSION MODELLING IN PREDICTING MILK PRODUCTION DEPENDING ON DAIRY BOVINE LIVESTOCK

REGRESSION MODELLING IN PREDICTING MILK PRODUCTION DEPENDING ON DAIRY BOVINE LIVESTOCK REGRESSION MODELLING IN PREDICTING MILK PRODUCTION DEPENDING ON DAIRY BOVINE LIVESTOCK Agatha POPESCU University of Agricultural Sciences and Veterinary Medicine Bucharest, 59 Marasti, District 1, 11464,

More information

Influence of the Thermal Environment of a Bathroom after Renovation on Blood Pressure of Residents

Influence of the Thermal Environment of a Bathroom after Renovation on Blood Pressure of Residents Influence of the Thermal Environment of a Bathroom after Renovation on Blood Pressure of Residents Chiemi Iba 1, Shuichi Hokoi 2, Nobuyuki Masugi 3, Daisuke Ogura 1, Satoru Takada 4 and Kenji Iida 5 1

More information

BY: Bernard L. Cohen University of Pittsburgh. Pittsburgh, PA ABSTRACT

BY: Bernard L. Cohen University of Pittsburgh. Pittsburgh, PA ABSTRACT CORRELATION BETWEEN MEAN RADON LEVELS AND LUNG CANCER RATES IN U.S. COUNTIES A TEST OF THE LINEAR - NO THRESHOLD THEORY BY: Bernard L. Cohen University of Pittsburgh. Pittsburgh, PA 15260 ABSTRACT Mean

More information

Some methodological aspects for measuring asynchrony detection in audio-visual stimuli

Some methodological aspects for measuring asynchrony detection in audio-visual stimuli Some methodological aspects for measuring asynchrony detection in audio-visual stimuli Pacs Reference: 43.66.Mk, 43.66.Lj Van de Par, Steven ; Kohlrausch, Armin,2 ; and Juola, James F. 3 ) Philips Research

More information

Differences between Kansei evaluations caused by the awareness of differences in background information

Differences between Kansei evaluations caused by the awareness of differences in background information KEER2014, LINKÖPING JUNE 11-13 2014 INTERNATIONAL CONFERENCE ON KANSEI ENGINEERING AND EMOTION RESEARCH Differences between Kansei evaluations caused by the awareness of differences in background information

More information

2.75: 84% 2.5: 80% 2.25: 78% 2: 74% 1.75: 70% 1.5: 66% 1.25: 64% 1.0: 60% 0.5: 50% 0.25: 25% 0: 0%

2.75: 84% 2.5: 80% 2.25: 78% 2: 74% 1.75: 70% 1.5: 66% 1.25: 64% 1.0: 60% 0.5: 50% 0.25: 25% 0: 0% Capstone Test (will consist of FOUR quizzes and the FINAL test grade will be an average of the four quizzes). Capstone #1: Review of Chapters 1-3 Capstone #2: Review of Chapter 4 Capstone #3: Review of

More information

Chapter 3 CORRELATION AND REGRESSION

Chapter 3 CORRELATION AND REGRESSION CORRELATION AND REGRESSION TOPIC SLIDE Linear Regression Defined 2 Regression Equation 3 The Slope or b 4 The Y-Intercept or a 5 What Value of the Y-Variable Should be Predicted When r = 0? 7 The Regression

More information

Prentice Hall Connected Mathematics 2, 8th Grade Units 2006 Correlated to: Michigan Grade Level Content Expectations (GLCE), Mathematics (Grade 8)

Prentice Hall Connected Mathematics 2, 8th Grade Units 2006 Correlated to: Michigan Grade Level Content Expectations (GLCE), Mathematics (Grade 8) NUMBER AND OPERATIONS Understand real number concepts N.ME.08.01 Understand the meaning of a square root of a number and its connection to the square whose area is the number; understand the meaning of

More information

Unit 3 Lesson 2 Investigation 4

Unit 3 Lesson 2 Investigation 4 Name: Investigation 4 ssociation and Causation Reports in the media often suggest that research has found a cause-and-effect relationship between two variables. For example, a newspaper article listed

More information

c. Construct a boxplot for the data. Write a one sentence interpretation of your graph.

c. Construct a boxplot for the data. Write a one sentence interpretation of your graph. STAT 280 Sample Test Problems Page 1 of 1 1. An English survey of 3000 medical records showed that smokers are more inclined to get depressed than non-smokers. Does this imply that smoking causes depression?

More information

Exponential Decay. Lesson2

Exponential Decay. Lesson2 Lesson2 Exponential Decay In 1989, the oil tanker Exxon Valdez ran aground in waters near the Kenai peninsula of Alaska. Over 10 million gallons of oil spread on the waters and shoreline of the area, endangering

More information

Lesson 1: Distributions and Their Shapes

Lesson 1: Distributions and Their Shapes Lesson 1 Name Date Lesson 1: Distributions and Their Shapes 1. Sam said that a typical flight delay for the sixty BigAir flights was approximately one hour. Do you agree? Why or why not? 2. Sam said that

More information

SPRING GROVE AREA SCHOOL DISTRICT. Course Description. Instructional Strategies, Learning Practices, Activities, and Experiences.

SPRING GROVE AREA SCHOOL DISTRICT. Course Description. Instructional Strategies, Learning Practices, Activities, and Experiences. SPRING GROVE AREA SCHOOL DISTRICT PLANNED COURSE OVERVIEW Course Title: Basic Introductory Statistics Grade Level(s): 11-12 Units of Credit: 1 Classification: Elective Length of Course: 30 cycles Periods

More information

Chapter 1: Exploring Data

Chapter 1: Exploring Data Chapter 1: Exploring Data Key Vocabulary:! individual! variable! frequency table! relative frequency table! distribution! pie chart! bar graph! two-way table! marginal distributions! conditional distributions!

More information

Perception of tonal components contained in wind turbine noise

Perception of tonal components contained in wind turbine noise Perception of tonal components contained in wind turbine noise Sakae YOKOYAMA 1 ; Tomohiro KOBAYASHI 2 ; Hideki TACHIBANA 3 1,2 Kobayasi Institute of Physical Research, Japan 3 The University of Tokyo,

More information

SUPPLEMENTAL MATERIAL

SUPPLEMENTAL MATERIAL 1 SUPPLEMENTAL MATERIAL Response time and signal detection time distributions SM Fig. 1. Correct response time (thick solid green curve) and error response time densities (dashed red curve), averaged across

More information

A Parallette Training Guide by Jay Thornton

A Parallette Training Guide by Jay Thornton A Parallette Training Guide by Jay Thornton contents copyright 2009 American Gymnast design & layout by Greg Roberts Beginner! 4 Tuck Sit!... 5 L Sit!... 5 Tuck Planche!... 5 Straddle Press to Handstand

More information

EFFECT OF DENSITY AND POLYMER CONTENT ON THE HYGROSCOPIC THICKNESS SWELLING RATE OF COMPRESSION MOLDED WOOD FIBER/POLYMER COMPOSITES. Sheldon Q.

EFFECT OF DENSITY AND POLYMER CONTENT ON THE HYGROSCOPIC THICKNESS SWELLING RATE OF COMPRESSION MOLDED WOOD FIBER/POLYMER COMPOSITES. Sheldon Q. EFFECT OF DENSITY AND POLYMER CONTENT ON THE HYGROSCOPIC THICKNESS SWELLING RATE OF COMPRESSION MOLDED WOOD FIBER/POLYMER COMPOSITES Sheldon Q. Shi * Assistant Professor Forest Products Department Mississippi

More information

Facts about Stachybotrys chartarum and Other Molds

Facts about Stachybotrys chartarum and Other Molds Facts about Stachybotrys chartarum and Other Molds I heard about "toxic molds" that grow in homes and other buildings. Should I be concerned about a serious health risk to me and my family? (/mold/stachy.htm#q1)

More information

Gathering and Repetition of the Elements in an Image Affect the Perception of Order and Disorder

Gathering and Repetition of the Elements in an Image Affect the Perception of Order and Disorder International Journal of Affective Engineering Vol.13 No.3 pp.167-173 (2014) ORIGINAL ARTICLE Gathering and Repetition of the Elements in an Image Affect the Perception of Order and Disorder Yusuke MATSUDA

More information

Chapter 3: Examining Relationships

Chapter 3: Examining Relationships Name Date Per Key Vocabulary: response variable explanatory variable independent variable dependent variable scatterplot positive association negative association linear correlation r-value regression

More information

Perception. Chapter 8, Section 3

Perception. Chapter 8, Section 3 Perception Chapter 8, Section 3 Principles of Perceptual Organization The perception process helps us to comprehend the confusion of the stimuli bombarding our senses Our brain takes the bits and pieces

More information

Multiple Regression. James H. Steiger. Department of Psychology and Human Development Vanderbilt University

Multiple Regression. James H. Steiger. Department of Psychology and Human Development Vanderbilt University Multiple Regression James H. Steiger Department of Psychology and Human Development Vanderbilt University James H. Steiger (Vanderbilt University) Multiple Regression 1 / 19 Multiple Regression 1 The Multiple

More information

Nature Neuroscience: doi: /nn Supplementary Figure 1. Behavioral training.

Nature Neuroscience: doi: /nn Supplementary Figure 1. Behavioral training. Supplementary Figure 1 Behavioral training. a, Mazes used for behavioral training. Asterisks indicate reward location. Only some example mazes are shown (for example, right choice and not left choice maze

More information

Behavioral generalization

Behavioral generalization Supplementary Figure 1 Behavioral generalization. a. Behavioral generalization curves in four Individual sessions. Shown is the conditioned response (CR, mean ± SEM), as a function of absolute (main) or

More information

REVIEW PROBLEMS FOR FIRST EXAM

REVIEW PROBLEMS FOR FIRST EXAM M358K Sp 6 REVIEW PROBLEMS FOR FIRST EXAM Please Note: This review sheet is not intended to tell you what will or what will not be on the exam. However, most of these problems have appeared on or are very

More information

Assessing the reliability of the borderline regression method as a standard setting procedure for objective structured clinical examination

Assessing the reliability of the borderline regression method as a standard setting procedure for objective structured clinical examination Educational Research Article Assessing the reliability of the borderline regression method as a standard setting procedure for objective structured clinical examination Sara Mortaz Hejri 1, Mohammad Jalili

More information

1. The diagram shows two families. Some of the people in the diagram have freckles. and. and

1. The diagram shows two families. Some of the people in the diagram have freckles. and. and 1. The diagram shows two families. Some of the people in the diagram have freckles. family A family B grandparents Bob married to Emily John married to Mary parents Rachel married to Bill Pam married to

More information

Knowledge discovery tools 381

Knowledge discovery tools 381 Knowledge discovery tools 381 hours, and prime time is prime time precisely because more people tend to watch television at that time.. Compare histograms from di erent periods of time. Changes in histogram

More information

Stat 13, Lab 11-12, Correlation and Regression Analysis

Stat 13, Lab 11-12, Correlation and Regression Analysis Stat 13, Lab 11-12, Correlation and Regression Analysis Part I: Before Class Objective: This lab will give you practice exploring the relationship between two variables by using correlation, linear regression

More information

Effect on car interior sound quality according to the variation of noisy components of tire-pattern noise

Effect on car interior sound quality according to the variation of noisy components of tire-pattern noise Effect on car interior sound quality according to the variation of noisy components of tire-pattern noise Sung-Hwan SHIN 1 ; Takeo HASHIMOTO 2 ; Shigeko HATANO 3 1 Kookmin University, Korea 2,3 Seikei

More information

A Basic Study on possibility to improve stage acoustics by active method

A Basic Study on possibility to improve stage acoustics by active method Toronto, Canada International Symposium on Room Acoustics June 9- ISRA A Basic Study on possibility to improve stage acoustics by active method Ayumi Ishikawa (ayumi@e.arch.mie-u.ac.jp) Takane Terashima

More information

Transmissibility of information through tactile perception

Transmissibility of information through tactile perception Transmissibility of information through tactile perception The combination of material and shape to transmit the information Fumio TERAUCHI*, Mitsunori KUBO**, Hiroyuki AOKI*** *Chiba University, Faculty

More information

STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS

STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS Circle the best answer. This scenario applies to Questions 1 and 2: A study was done to compare the lung capacity of coal miners to the lung

More information

Lecture 12: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression

Lecture 12: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression Lecture 12: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression Equation of Regression Line; Residuals Effect of Explanatory/Response Roles Unusual Observations Sample

More information

SUBJECTIVE EYE COMFORT AND PERFORMANCE UNDER THE DIFFERENT COMBINATION OF HUMIDITY, LOCAL AIR VELOCITY AND ILLUMINANCE

SUBJECTIVE EYE COMFORT AND PERFORMANCE UNDER THE DIFFERENT COMBINATION OF HUMIDITY, LOCAL AIR VELOCITY AND ILLUMINANCE SUBJECTIVE EYE COMFORT AND PERFORMANCE UNDER THE DIFFERENT COMBINATION OF HUMIDITY, LOCAL AIR VELOCITY AND ILLUMINANCE Hitomi Tsutsumi 1, Yoshitaka Hoda 1, Shin-ichi Tanabe, and Akiko Arishiro 2 1 Department

More information

WDHS Curriculum Map Probability and Statistics. What is Statistics and how does it relate to you?

WDHS Curriculum Map Probability and Statistics. What is Statistics and how does it relate to you? WDHS Curriculum Map Probability and Statistics Time Interval/ Unit 1: Introduction to Statistics 1.1-1.3 2 weeks S-IC-1: Understand statistics as a process for making inferences about population parameters

More information

Birds' Judgments of Number and Quantity

Birds' Judgments of Number and Quantity Entire Set of Printable Figures For Birds' Judgments of Number and Quantity Emmerton Figure 1. Figure 2. Examples of novel transfer stimuli in an experiment reported in Emmerton & Delius (1993). Paired

More information

Investigation on Rate of Hydrolytic Rancidity. Research Question:

Investigation on Rate of Hydrolytic Rancidity. Research Question: 1 Investigation on Rate of Hydrolytic Rancidity Research Question: Comparing the shelf life of skim milk, low-fat milk, and whole milk, to analyze the effect of different amounts of lipids on hydrolytic

More information

Lab 4: Perception of Loudness

Lab 4: Perception of Loudness Lab 4: Perception of Loudness Lewis O. Harvey, Jr. and Dillon J. McGovern PSYC 4165: Psychology of Perception, Spring 2019 Department of Psychology and Neuroscience University of Colorado Boulder Boulder,

More information

Roger M. Rowell. John A. Youngquist. Yuji Imamura

Roger M. Rowell. John A. Youngquist. Yuji Imamura STRENGTH TESTS ON ACETYLATED ASPEN FLAKEBOARDS EXPOSED TO A BROWN-ROT FUNGUS 1 Roger M. Rowell Research Chemist John A. Youngquist Supervisory Research General Engineer U.S. Department of Agriculture,

More information

Business Statistics Probability

Business Statistics Probability Business Statistics The following was provided by Dr. Suzanne Delaney, and is a comprehensive review of Business Statistics. The workshop instructor will provide relevant examples during the Skills Assessment

More information

SENSORY ANALYSIS OF OLIVE OIL STANDARD SENSORY ANALYSIS: GENERAL BASIC VOCABULARY

SENSORY ANALYSIS OF OLIVE OIL STANDARD SENSORY ANALYSIS: GENERAL BASIC VOCABULARY INTERNATIONAL OLIVE COUNCIL COI/T.20/Doc. No 4/Rev. 1 September 2007 ENGLISH Original: SPANISH Príncipe de Vergara, 154 28002 Madrid España Telef.: +34 915 903 638 Fax: +34 915 631 263 - e-mail: iooc@internationaloliveoil.org

More information

Development of an Illumination Control Method to Improve Office Productivity

Development of an Illumination Control Method to Improve Office Productivity Development of an Illumination Control Method to Improve Office Productivity Fumiaki Obayashi, Misa Kawauchi, Masaaki Terano Matsushita Electric Works, Ltd., 1048 Kadoma, Kadoma, Osaka, Japan {obayashi,

More information

R A DON IS YOUR FAMILY AT RISK?

R A DON IS YOUR FAMILY AT RISK? A Full Service Radon Testing, Mitigation & Remediation Company providing peace of mind from Radon in homes and businesses throughout Southeastern PA and the Tri-State Area. R A DON IS YOUR FAMILY AT RISK?

More information

5 To Invest or not to Invest? That is the Question.

5 To Invest or not to Invest? That is the Question. 5 To Invest or not to Invest? That is the Question. Before starting this lab, you should be familiar with these terms: response y (or dependent) and explanatory x (or independent) variables; slope and

More information

Statistical analysis supporting the development of the guidance on dermal absorption

Statistical analysis supporting the development of the guidance on dermal absorption Statistical analysis supporting the development of the guidance on dermal absorption Peter Craig (Gilles Guillot, EFSA) Durham University United Kingdom 27 September, 2017 Variability of percentage absorbed

More information

Results & Statistics: Description and Correlation. I. Scales of Measurement A Review

Results & Statistics: Description and Correlation. I. Scales of Measurement A Review Results & Statistics: Description and Correlation The description and presentation of results involves a number of topics. These include scales of measurement, descriptive statistics used to summarize

More information

Sample Math 71B Final Exam #1. Answer Key

Sample Math 71B Final Exam #1. Answer Key Sample Math 71B Final Exam #1 Answer Key 1. (2 points) Graph the equation. Be sure to plot the points on the graph at. 2. Solve for. 3. Given that, find and simplify. 4. Suppose and a. (1 point) Find.

More information

Lab 4 (M13) Objective: This lab will give you more practice exploring the shape of data, and in particular in breaking the data into two groups.

Lab 4 (M13) Objective: This lab will give you more practice exploring the shape of data, and in particular in breaking the data into two groups. Lab 4 (M13) Objective: This lab will give you more practice exploring the shape of data, and in particular in breaking the data into two groups. Activity 1 Examining Data From Class Background Download

More information

resulting from evaporation of the spray droplets and containing viable bacteria have measurable settling velocities. Under our

resulting from evaporation of the spray droplets and containing viable bacteria have measurable settling velocities. Under our STUDIES ON MICROORGANISMS IN SIMULATED ROOM ENVIRONMENTS II. THE SURVIVAL RATES OF STREPTOCOCCI IN THE DARK' LEON BUCHBINDER AND EARLE B. PHELPS DeLamar Institute of Public Health, College of Physicians

More information

ANALYZING BIVARIATE DATA

ANALYZING BIVARIATE DATA Analyzing bivariate data 1 ANALYZING BIVARIATE DATA Lesson 1: Creating frequency tables LESSON 1: OPENER There are two types of data: categorical and numerical. Numerical data provide numeric measures

More information

Ecological Interface to Enhance User Performance in Adjusting Computer-Controlled Multihead Weigher

Ecological Interface to Enhance User Performance in Adjusting Computer-Controlled Multihead Weigher Ecological Interface to Enhance User Performance in Adjusting Computer-Controlled Multihead Weigher Yukio Horiguchi 1, Ryoji Asakura 1,*, Tetsuo Sawaragi 1, Yutaka Tamai 2, Kazufumi Naito 2, Nobuki Hashiguchi

More information

Exploring and Validating Surrogate Endpoints in Colorectal Cancer. Center, Pittsburgh, USA

Exploring and Validating Surrogate Endpoints in Colorectal Cancer. Center, Pittsburgh, USA Page 1 Exploring and Validating Surrogate Endpoints in Colorectal Cancer Tomasz Burzykowski, PhD 1,2, Marc Buyse, ScD 1,3, Greg Yothers PhD 4, Junichi Sakamoto, PhD 5, Dan Sargent, PhD 6 1 Center for Statistics,

More information

A Productivity Review Study on Theory of Reasoned Action Literature Using Bibliometric Methodology

A Productivity Review Study on Theory of Reasoned Action Literature Using Bibliometric Methodology 0 International Conference on Management and Service Science IPEDR vol.8 (0) (0) IACSIT Press, Singapore A Productivity Review Study on Theory of Reasoned Action Literature Using Bibliometric Methodology

More information

CRITERIA FOR USE. A GRAPHICAL EXPLANATION OF BI-VARIATE (2 VARIABLE) REGRESSION ANALYSISSys

CRITERIA FOR USE. A GRAPHICAL EXPLANATION OF BI-VARIATE (2 VARIABLE) REGRESSION ANALYSISSys Multiple Regression Analysis 1 CRITERIA FOR USE Multiple regression analysis is used to test the effects of n independent (predictor) variables on a single dependent (criterion) variable. Regression tests

More information

bivariate analysis: The statistical analysis of the relationship between two variables.

bivariate analysis: The statistical analysis of the relationship between two variables. bivariate analysis: The statistical analysis of the relationship between two variables. cell frequency: The number of cases in a cell of a cross-tabulation (contingency table). chi-square (χ 2 ) test for

More information

STATISTICS AND RESEARCH DESIGN

STATISTICS AND RESEARCH DESIGN Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have

More information

..." , \ I \ ... / ~\ \ : \\ ~ ... I CD ~ \ CD> 00\ CD) CD 0. Relative frequencies of numerical responses in ratio estimation1

... , \ I \ ... / ~\ \ : \\ ~ ... I CD ~ \ CD> 00\ CD) CD 0. Relative frequencies of numerical responses in ratio estimation1 Relative frequencies of numerical responses in ratio estimation1 JOHN C. BAIRD.2 CHARLES LEWIS, AND DANIEL ROMER3 DARTMOUTH COLLEGE This study investigated the frequency of different numerical responses

More information

Outline of Presentation

Outline of Presentation Indoor Secondary Organic Aerosol Formation and Health Effects Annette C. Rohr, Sc.D. October 24, 2006 Health Effects of Organic Aerosols Workshop Palo Alto, CA Outline of Presentation Background Indoor

More information

Psychology of Perception PSYC Spring 2017 Laboratory 2: Perception of Loudness

Psychology of Perception PSYC Spring 2017 Laboratory 2: Perception of Loudness PSYC 4165-100 Laboratory 2: Perception of Loudness Lab Overview Loudness is a psychological dimension of sound experience that depends on several physical dimensions of the sound stimulus (intensity, frequency,

More information

14.1: Inference about the Model

14.1: Inference about the Model 14.1: Inference about the Model! When a scatterplot shows a linear relationship between an explanatory x and a response y, we can use the LSRL fitted to the data to predict a y for a given x. However,

More information

Subjective impression of copy machine noises: an improvement of their sound quality based on physical metrics

Subjective impression of copy machine noises: an improvement of their sound quality based on physical metrics Subjective impression of copy machine noises: an improvement of their sound quality based on physical metrics Osamu Takehira a Ricoh Co. Ltd., JAPAN Sonoko Kuwano b Seiichiro Namba c Osaka University,JAPAN

More information

Psychology of Perception Psychology 4165, Spring 2016 Laboratory 2: Perception of Loudness

Psychology of Perception Psychology 4165, Spring 2016 Laboratory 2: Perception of Loudness Psychology 4165, Laboratory 2: Perception of Loudness Linear-Linear Linear-Linear 0.002 0.005 0.020 0.050 0.200 0.500 2 5 10 20 50 100 200 0.002 0.005 0.020 0.050 0.200 0.500 Lab Overview Loudness is a

More information

Toxicity testing. Introduction

Toxicity testing. Introduction Toxicity testing Lab. Objective: To familiarize the student with the concepts and techniques of bioassay utilized in toxicity testing. To introduce students to the calculation of LC 5 values. Toxicity

More information

Lowest-Low Fertility and Governmental Actions in Japan: A Comment

Lowest-Low Fertility and Governmental Actions in Japan: A Comment Lowest-Low Fertility and Governmental Actions in Japan: A Comment Hiroshi Yoshida * Graduate School of Economics and Management, Tohoku University, 980-8576 Sendai, JAPAN 1. Introduction The reasons of

More information

Asthma Triggers. It is very important for you to find out what your child s asthma triggers are and learn ways to avoid them.

Asthma Triggers. It is very important for you to find out what your child s asthma triggers are and learn ways to avoid them. Asthma s It is very important for you to find out what your child s asthma triggers are and learn ways to avoid them. With asthma, your child s airways are very sensitive. Things, called triggers, may

More information

Unit 2:4- Attributes of Matter. Prerequisite Vocabulary- Words You Should Already Know

Unit 2:4- Attributes of Matter. Prerequisite Vocabulary- Words You Should Already Know Unit 2:4- Attributes of Matter Prerequisite Vocabulary- Words You Should Already Know 1. breakable something that is easily broken 2. unbreakable something you cannot break 3. unpleasant not pleasing or

More information

12.1 Inference for Linear Regression. Introduction

12.1 Inference for Linear Regression. Introduction 12.1 Inference for Linear Regression vocab examples Introduction Many people believe that students learn better if they sit closer to the front of the classroom. Does sitting closer cause higher achievement,

More information

Lab 3: Perception of Loudness

Lab 3: Perception of Loudness Lab 3: Perception of Loudness Lewis O. Harvey, Jr. and Samuel P. Paskewitz PSYC 4165: Psychology of Perception, Fall 2018 Department of Psychology and Neuroscience University of Colorado Boulder Boulder,

More information

Chapter 4: More about Relationships between Two-Variables Review Sheet

Chapter 4: More about Relationships between Two-Variables Review Sheet Review Sheet 4. Which of the following is true? A) log(ab) = log A log B. D) log(a/b) = log A log B. B) log(a + B) = log A + log B. C) log A B = log A log B. 5. Suppose we measure a response variable Y

More information

Biodiversity Study & Biomass Analysis

Biodiversity Study & Biomass Analysis PR072 G-Biosciences 1-800-628-7730 1-314-991-6034 technical@gbiosciences.com A Geno Technology, Inc. (USA) brand name Biodiversity Study & Biomass Analysis Teacher s Guidebook (Cat. # BE-403) think proteins!

More information

CROSSCULTURAL EFFECTS IN AUDIO-VISUAL INTERACTIONS

CROSSCULTURAL EFFECTS IN AUDIO-VISUAL INTERACTIONS CROSSCULTURAL EFFECTS IN AUDIO-VISUAL INTERACTIONS T. Rader 1,2, M. Morinaga 2, T. Matsui 2, H. Fastl 1, S. Kuwano 2 and S. Namba 2 1 AG Technische Akustik, MMK, Technische Universität München, Arcisstr.

More information

Living Well with Asthma

Living Well with Asthma Living Well with Asthma Understanding Asthma Monitoring Your Breathing Using an Inhaler Reducing Triggers Staying Active Living with Asthma If you have asthma, there s good news. Today, people with asthma

More information

Learning Utility for Behavior Acquisition and Intention Inference of Other Agent

Learning Utility for Behavior Acquisition and Intention Inference of Other Agent Learning Utility for Behavior Acquisition and Intention Inference of Other Agent Yasutake Takahashi, Teruyasu Kawamata, and Minoru Asada* Dept. of Adaptive Machine Systems, Graduate School of Engineering,

More information

Math Circle Intermediate Group October 9, 2016 Combinatorics

Math Circle Intermediate Group October 9, 2016 Combinatorics Math Circle Intermediate Group October 9, 2016 Combinatorics Warm-up problems Remember the following key ideas: n! =n (n 1) (n 2) (n 3)... 1 Ck n = n! k!(n k)! P n k = n! (n k)! 1. Complete the following

More information

B.A. II Psychology - Paper A. Form Perception. Dr. Neelam Rathee. Department of Psychology G.C.G.-11, Chandigarh

B.A. II Psychology - Paper A. Form Perception. Dr. Neelam Rathee. Department of Psychology G.C.G.-11, Chandigarh B.A. II Psychology - Paper A Form Perception Dr. Neelam Rathee Department of Psychology G.C.G.-11, Chandigarh Form Perception What it is? How do we recognize an object? (form perception) 2 Perception of

More information

This reproduction of Woodworth & Thorndike s work does not follow the original pagination.

This reproduction of Woodworth & Thorndike s work does not follow the original pagination. The Influence of Improvement in One Mental Function Upon the Efficiency of Other Functions (I) E. L. Thorndike & R. S. Woodworth (1901) First published in Psychological Review, 8, 247-261. This reproduction

More information

Evaluation of Comfort and Health of Mattresses from

Evaluation of Comfort and Health of Mattresses from J. Home Econ. Jpn. Vol. 40 No. 8 705-711 (1989) Note Evaluation of Comfort and Health of Mattresses from Mechanical Standpoint Teruko TAMURA, Utako SHIMANE, * Sunsuku Hou and Makoto YOSHIDA** Faculty of

More information

Chapter 2 Norms and Basic Statistics for Testing MULTIPLE CHOICE

Chapter 2 Norms and Basic Statistics for Testing MULTIPLE CHOICE Chapter 2 Norms and Basic Statistics for Testing MULTIPLE CHOICE 1. When you assert that it is improbable that the mean intelligence test score of a particular group is 100, you are using. a. descriptive

More information

Lecturer: Rob van der Willigen 11/9/08

Lecturer: Rob van der Willigen 11/9/08 Auditory Perception - Detection versus Discrimination - Localization versus Discrimination - - Electrophysiological Measurements Psychophysical Measurements Three Approaches to Researching Audition physiology

More information

UF#Stats#Club#STA#2023#Exam#1#Review#Packet# #Fall#2013#

UF#Stats#Club#STA#2023#Exam#1#Review#Packet# #Fall#2013# UF#Stats#Club#STA##Exam##Review#Packet# #Fall## The following data consists of the scores the Gators basketball team scored during the 8 games played in the - season. 84 74 66 58 79 8 7 64 8 6 78 79 77

More information

Basic Statistics 01. Describing Data. Special Program: Pre-training 1

Basic Statistics 01. Describing Data. Special Program: Pre-training 1 Basic Statistics 01 Describing Data Special Program: Pre-training 1 Describing Data 1. Numerical Measures Measures of Location Measures of Dispersion Correlation Analysis 2. Frequency Distributions (Relative)

More information