Final Exam Version A
|
|
- Stephanie Dean
- 5 years ago
- Views:
Transcription
1 Final Exam Version A Open Book and Notes your 4-digit code: Staple the question sheets to your answers Write your name only once on the back of this sheet. Problem 1: (10 points) A popular method to isolate single cells for further characterization is the limiting dilution method. A cell suspension is diluted to an appropriate low concentration and 0.05 ml of this suspension is dispersed into each well of a 96 well plate. What should be cell number concentration (number of cells per ml) in the dilute suspension such that not a single well out of the 96 contains two cells? At this concentration, how many wells are expected to have a single cell? Problem 2: (10 points) Potassium mass fraction (% by weight) in fertilizer samples are measured in a commercial product as shown below: a. Construct a stem-and-leaf diagram for these data and comment on the apparent distribution. b. Find the 99 % confidence intervals for the sample variance and standard deviation. Problem 3: (5 points) The following data were obtained on total nitrogen concentration (in ppm) of water drawn from a lake being considered for use as a source of drinking water for a town.: Find a 95 % one-sided confidence interval on the largest possible value for the mean nitrogen concentration. To be acceptable as a source of drinking water, the mean nitrogen concentration must li below 0.05 ppm. Does this lake appear to meet this criterion? Problem 4: (20 points) Another environmental monitoring company measures the total nitrogen concentration (ppm) in the same lake (as in problem above) and obtains the following data: (a) Can the variances for these two sets of data be considered equal or unequal? (b) Are the two mean nitrogen concentrations the same or different with 95% confidence level? Problem 5: (15 points) The blood glucose concentration measured before breakfast in the normal human population is normally distributed with a mean of 100 gm/dl and known standard deviation of 10 gm/dl. At 95% confidence, what are the acceptance limits of blood glucose concentration for a normal person? What is the P value of a diabetic patient s blood glucose measurement being 135 gm/dl? If this patient s blood glucose concentration is normally distributed with a mean of 140 gm/dl and a standard deviation of 20 mg/dl, what is the probability that this patient will be misdiagnosed as normal?
2 Problem 6: (15 points) For the experimental data in the table below: Y X The sums are calculated: Σx = 116, Σy = 92, Σx 2 = 2344, Σy 2 = 1310, Σxy =1697. Find the slope and the intercept of a linear regression model. Test for the significance of regression and calculate the adjusted R 2. Problem 7: (15 points) For the experimental data in the table below, the multiple linear regression model y = β 0 + β 1 x 1 + β 2 x 2 is considered. Y X X The covariance matrix is calculated and given below: C X t 1 = ( X) = and s 2 = Determine the coefficients of the above model and 95% confidence intervals for the parameter β 2. Problem 8: (10 points) Construct a fractional factorial design table for six factors that requires only 8 experiments. Write down the complete defining relationship and the aliases from this design. Present the design table with a column showing the treatment conditions. Happy Holidays!
3 Final Exam Version B Open Book and Notes your 4-digit code: Staple the question sheets to your answers Write your name only once on the back of this sheet. Problem 1: (10 points) A popular method to isolate single cells for further characterization is the limiting dilution method. A cell suspension is diluted to an appropriate low concentration and 0.10 ml of this suspension is dispersed into each well of a 96 well plate. What should be cell number concentration (number of cells per ml) in the dilute suspension such that not a single well out of the 96 contains two cells? At this concentration, how many wells are expected to have a single cell? Problem 2: (10 points) Potassium mass fraction (% by weight) in fertilizer samples are measured in a commercial product as shown below: a. Construct a stem-and-leaf diagram for these data and comment on the apparent distribution. b. Find the 95 % confidence intervals for the sample variance and standard deviation. Problem 3: (5 points) The following data were obtained on total nitrogen concentration (in ppm) of water drawn from a lake being considered for use as a source of drinking water for a town.: Find a 95 % one-sided confidence interval on the largest possible value for the mean nitrogen concentration. To be acceptable as a source of drinking water, the mean nitrogen concentration must li below 0.05 ppm. Does this lake appear to meet this criterion? Problem 4: (20 points) Another environmental monitoring company measures the total nitrogen concentration (ppm) in the same lake (as in problem above) and obtains the following data: (c) Can the variances for these two sets of data be considered equal or unequal? (d) Are the two mean nitrogen concentrations the same or different with 95% confidence level? Problem 5: (15 points) The blood glucose concentration measured before breakfast in the normal human population is normally distributed with a mean of 100 gm/dl and known standard deviation of 12 gm/dl. At 95% confidence, what are the acceptance limits of blood glucose concentration for a normal person? What is the P value of a diabetic patient s blood glucose measurement being 135 gm/dl? If this patient s blood glucose concentration is normally distributed with a mean of 140 gm/dl and a standard deviation of 20 mg/dl, what is the probability that this patient will be misdiagnosed as normal?
4 Problem 6: (15 points) For the experimental data in the table below: Y X The sums are calculated: Σx = 118, Σy = 94, Σx 2 = 2376, Σy 2 = 1346, Σxy = 1731 Find the slope and the intercept of a linear regression model. Test for the significance of regression and calculate the adjusted R 2. Problem 7: (15 points) For the experimental data in the table below, the multiple linear regression model y = β 0 + β 1 x 1 + β 2 x 2 is considered. Y X X The covariance matrix is calculated and given below: C X t 1 = ( X) = and s 2 = Determine the coefficients of the above model and 95% confidence intervals for the parameter β 2. Problem 8: (10 points) Construct a fractional factorial design table for six factors that requires only 8 experiments. Write down the complete defining relationship and the aliases from this design. Present the design table with a column showing the treatment conditions. Happy Holidays!
5 Final Exam Version C Open Book and Notes your 4-digit code: Staple the question sheets to your answers Write your name only once on the back of this sheet. Problem 1: (10 points) A popular method to isolate single cells for further characterization is the limiting dilution method. A cell suspension is diluted to an appropriate low concentration and 0.15 ml of this suspension is dispersed into each well of a 96 well plate. What should be cell number concentration (number of cells per ml) in the dilute suspension such that not a single well out of the 96 contains two cells? At this concentration, how many wells are expected to have a single cell? Problem 2: (10 points) Potassium mass fraction (% by weight) in fertilizer samples is measured in a commercial product as shown below: a. Construct a stem-and-leaf diagram for these data and comment on the apparent distribution. b. Find the 90 % confidence intervals for the sample variance and standard deviation. Problem 3: (5 points) The following data were obtained on total nitrogen concentration (in ppm) of water drawn from a lake being considered for use as a source of drinking water for a town: Find a 95 % one-sided confidence interval on the largest possible value for the mean nitrogen concentration. To be acceptable as a source of drinking water, the mean nitrogen concentration must li below 0.05 ppm. Does this lake appear to meet this criterion? Problem 4: (20 points) Another environmental monitoring company measures the total nitrogen concentration (ppm) in the same lake (as in problem above) and obtains the following data: (e) Can the variances for these two sets of data be considered equal or unequal? (f) Are the two mean nitrogen concentrations the same or different with 95% confidence level? Problem 5: (15 points) The blood glucose concentration measured before breakfast in the normal human population is normally distributed with a mean of 100 gm/dl and known standard deviation of 14 gm/dl. At 95% confidence, what are the acceptance limits of blood glucose concentration for a normal person? What is the P value of a diabetic patient s blood glucose measurement being 135 gm/dl? If this patient s blood glucose concentration is normally distributed with a mean of 140 gm/dl and a standard deviation of 20 mg/dl, what is the probability that this patient will be misdiagnosed as normal?
6 Problem 6: (15 points) For the experimental data in the table below: Y X The sums are calculated: Σx = 114, Σy = 97, Σx 2 = 2308, Σy 2 = 1515, Σxy =1825 Find the slope and the intercept of a linear regression model. Test for the significance of regression and calculate the adjusted R 2. Problem 7 (15 points) For the experimental data in the table below, the multiple linear regression model y = β 0 + β 1 x 1 + β 2 x 2 is considered. Y X X The matrix calculations are mostly done and the results are provided below: C X t 1 = ( X) = and s 2 = Determine the coefficients of the above model and 95% confidence intervals for the parameter β 2. Problem 8 (10 points) Construct a fractional factorial design table for six factors that requires only 8 experiments. Write down the complete defining relationship and the aliases from this design. Present the design table with a column showing the treatment conditions. Happy Holidays!
Simple Linear Regression the model, estimation and testing
Simple Linear Regression the model, estimation and testing Lecture No. 05 Example 1 A production manager has compared the dexterity test scores of five assembly-line employees with their hourly productivity.
More informationCRITERIA 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 informationCHAPTER TWO REGRESSION
CHAPTER TWO REGRESSION 2.0 Introduction The second chapter, Regression analysis is an extension of correlation. The aim of the discussion of exercises is to enhance students capability to assess the effect
More informationStatistics for Psychology
Statistics for Psychology SIXTH EDITION CHAPTER 12 Prediction Prediction a major practical application of statistical methods: making predictions make informed (and precise) guesses about such things as
More informationNORTH SOUTH UNIVERSITY TUTORIAL 2
NORTH SOUTH UNIVERSITY TUTORIAL 2 AHMED HOSSAIN,PhD Data Management and Analysis AHMED HOSSAIN,PhD - Data Management and Analysis 1 Correlation Analysis INTRODUCTION In correlation analysis, we estimate
More informationBusiness 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 informationClass 7 Everything is Related
Class 7 Everything is Related Correlational Designs l 1 Topics Types of Correlational Designs Understanding Correlation Reporting Correlational Statistics Quantitative Designs l 2 Types of Correlational
More informationChapter 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 informationDescribe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo
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 informationChapter 2 Organizing and Summarizing Data. Chapter 3 Numerically Summarizing Data. Chapter 4 Describing the Relation between Two Variables
Tables and Formulas for Sullivan, Fundamentals of Statistics, 4e 014 Pearson Education, Inc. Chapter Organizing and Summarizing Data Relative frequency = frequency sum of all frequencies Class midpoint:
More informationCHAPTER 3 RESEARCH METHODOLOGY
CHAPTER 3 RESEARCH METHODOLOGY 3.1 Introduction 3.1 Methodology 3.1.1 Research Design 3.1. Research Framework Design 3.1.3 Research Instrument 3.1.4 Validity of Questionnaire 3.1.5 Statistical Measurement
More informationStatistical Methods and Reasoning for the Clinical Sciences
Statistical Methods and Reasoning for the Clinical Sciences Evidence-Based Practice Eiki B. Satake, PhD Contents Preface Introduction to Evidence-Based Statistics: Philosophical Foundation and Preliminaries
More informationbivariate 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 informationConditional Distributions and the Bivariate Normal Distribution. James H. Steiger
Conditional Distributions and the Bivariate Normal Distribution James H. Steiger Overview In this module, we have several goals: Introduce several technical terms Bivariate frequency distribution Marginal
More informationMultiple 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 information11/18/2013. Correlational Research. Correlational Designs. Why Use a Correlational Design? CORRELATIONAL RESEARCH STUDIES
Correlational Research Correlational Designs Correlational research is used to describe the relationship between two or more naturally occurring variables. Is age related to political conservativism? Are
More information2.75: 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 informationChapter 1: Explaining Behavior
Chapter 1: Explaining Behavior GOAL OF SCIENCE is to generate explanations for various puzzling natural phenomenon. - Generate general laws of behavior (psychology) RESEARCH: principle method for acquiring
More informationMidterm STAT-UB.0003 Regression and Forecasting Models. I will not lie, cheat or steal to gain an academic advantage, or tolerate those who do.
Midterm STAT-UB.0003 Regression and Forecasting Models The exam is closed book and notes, with the following exception: you are allowed to bring one letter-sized page of notes into the exam (front and
More informationWDHS 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 informationStill important ideas
Readings: OpenStax - Chapters 1 13 & Appendix D & E (online) Plous Chapters 17 & 18 - Chapter 17: Social Influences - Chapter 18: Group Judgments and Decisions Still important ideas Contrast the measurement
More informationSTA 3024 Spring 2013 EXAM 3 Test Form Code A UF ID #
STA 3024 Spring 2013 Name EXAM 3 Test Form Code A UF ID # Instructions: This exam contains 34 Multiple Choice questions. Each question is worth 3 points, for a total of 102 points (there are TWO bonus
More informationReadings: Textbook readings: OpenStax - Chapters 1 13 (emphasis on Chapter 12) Online readings: Appendix D, E & F
Readings: Textbook readings: OpenStax - Chapters 1 13 (emphasis on Chapter 12) Online readings: Appendix D, E & F Plous Chapters 17 & 18 Chapter 17: Social Influences Chapter 18: Group Judgments and Decisions
More informationRegression Including the Interaction Between Quantitative Variables
Regression Including the Interaction Between Quantitative Variables The purpose of the study was to examine the inter-relationships among social skills, the complexity of the social situation, and performance
More information3.2A Least-Squares Regression
3.2A Least-Squares Regression Linear (straight-line) relationships between two quantitative variables are pretty common and easy to understand. Our instinct when looking at a scatterplot of data is to
More informationUNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test February 2016
UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test February 2016 STAB22H3 Statistics I, LEC 01 and LEC 02 Duration: 1 hour and 45 minutes Last Name: First Name:
More informationName: emergency please discuss this with the exam proctor. 6. Vanderbilt s academic honor code applies.
Name: Biostatistics 1 st year Comprehensive Examination: Applied in-class exam May 28 th, 2015: 9am to 1pm Instructions: 1. There are seven questions and 12 pages. 2. Read each question carefully. Answer
More informationFor People With Diabetes. Blood Sugar Diary. SCAN Health Plan
For People With Diabetes Blood Sugar Diary SCAN Health Plan 78 A Circle of Help to Live a Healthy Life You are the center of a healthy life with diabetes. All the elements of good care begin and end with
More informationUnderstandable 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 informationMMI 409 Spring 2009 Final Examination Gordon Bleil. 1. Is there a difference in depression as a function of group and drug?
MMI 409 Spring 2009 Final Examination Gordon Bleil Table of Contents Research Scenario and General Assumptions Questions for Dataset (Questions are hyperlinked to detailed answers) 1. Is there a difference
More informationPSY 216: Elementary Statistics Exam 4
Name: PSY 16: Elementary Statistics Exam 4 This exam consists of multiple-choice questions and essay / problem questions. For each multiple-choice question, circle the one letter that corresponds to the
More informationExamining Relationships Least-squares regression. Sections 2.3
Examining Relationships Least-squares regression Sections 2.3 The regression line A regression line describes a one-way linear relationship between variables. An explanatory variable, x, explains variability
More informationIAPT: Regression. Regression analyses
Regression analyses IAPT: Regression Regression is the rather strange name given to a set of methods for predicting one variable from another. The data shown in Table 1 and come from a student project
More informationPearson Education Limited Edinburgh Gate Harlow Essex CM20 2JE England and Associated Companies throughout the world
Pearson Education Limited Edinburgh Gate Harlow Essex CM20 2JE England and Associated Companies throughout the world Visit us on the World Wide Web at: www.pearsoned.co.uk Pearson Education Limited 2014
More informationMethod Comparison Report Semi-Annual 1/5/2018
Method Comparison Report Semi-Annual 1/5/2018 Prepared for Carl Commissioner Regularatory Commission 123 Commission Drive Anytown, XX, 12345 Prepared by Dr. Mark Mainstay Clinical Laboratory Kennett Community
More informationisc ove ring i Statistics sing SPSS
isc ove ring i Statistics sing SPSS S E C O N D! E D I T I O N (and sex, drugs and rock V roll) A N D Y F I E L D Publications London o Thousand Oaks New Delhi CONTENTS Preface How To Use This Book Acknowledgements
More informationApplied Medical. Statistics Using SAS. Geoff Der. Brian S. Everitt. CRC Press. Taylor Si Francis Croup. Taylor & Francis Croup, an informa business
Applied Medical Statistics Using SAS Geoff Der Brian S. Everitt CRC Press Taylor Si Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Croup, an informa business A
More informationFrom Biostatistics Using JMP: A Practical Guide. Full book available for purchase here. Chapter 1: Introduction... 1
From Biostatistics Using JMP: A Practical Guide. Full book available for purchase here. Contents Dedication... iii Acknowledgments... xi About This Book... xiii About the Author... xvii Chapter 1: Introduction...
More informationConstructing a mixed model using the AIC
Constructing a mixed model using the AIC The Data: The Citalopram study (PI Dr. Zisook) Does Citalopram reduce the depression in schizophrenic patients with subsyndromal depression Two Groups: Citalopram
More informationRegression CHAPTER SIXTEEN NOTE TO INSTRUCTORS OUTLINE OF RESOURCES
CHAPTER SIXTEEN Regression NOTE TO INSTRUCTORS This chapter includes a number of complex concepts that may seem intimidating to students. Encourage students to focus on the big picture through some of
More information12/31/2016. PSY 512: Advanced Statistics for Psychological and Behavioral Research 2
PSY 512: Advanced Statistics for Psychological and Behavioral Research 2 Introduce moderated multiple regression Continuous predictor continuous predictor Continuous predictor categorical predictor Understand
More informationMULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES OBJECTIVES
24 MULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES In the previous chapter, simple linear regression was used when you have one independent variable and one dependent variable. This chapter
More informationDr. Kelly Bradley Final Exam Summer {2 points} Name
{2 points} Name You MUST work alone no tutors; no help from classmates. Email me or see me with questions. You will receive a score of 0 if this rule is violated. This exam is being scored out of 00 points.
More information12/30/2017. PSY 5102: Advanced Statistics for Psychological and Behavioral Research 2
PSY 5102: Advanced Statistics for Psychological and Behavioral Research 2 Selecting a statistical test Relationships among major statistical methods General Linear Model and multiple regression Special
More informationStudy Guide for the Final Exam
Study Guide for the Final Exam When studying, remember that the computational portion of the exam will only involve new material (covered after the second midterm), that material from Exam 1 will make
More informationCorrelation and regression
PG Dip in High Intensity Psychological Interventions Correlation and regression Martin Bland Professor of Health Statistics University of York http://martinbland.co.uk/ Correlation Example: Muscle strength
More informationInstructions and Checklist
BIOSTATS 540 Fall 2015 Exam 1 Corrected 9-28-2015 Page 1 of 11 BIOSTATS 540 - Introductory Biostatistics Fall 2015 Examination 1 Due: Monday October 5, 2015 Last Date for Submission with Credit: Monday
More informationChapter 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 informationF1: Introduction to Econometrics
F1: Introduction to Econometrics Feng Li Department of Statistics, Stockholm University General information Homepage of this course: http://gauss.stat.su.se/gu/ekonometri.shtml Lecturer F1 F7: Feng Li,
More information10/4/2007 MATH 171 Name: Dr. Lunsford Test Points Possible
Pledge: 10/4/2007 MATH 171 Name: Dr. Lunsford Test 1 100 Points Possible I. Short Answer and Multiple Choice. (36 points total) 1. Circle all of the items below that are measures of center of a distribution:
More informationSTATISTICS INFORMED DECISIONS USING DATA
STATISTICS INFORMED DECISIONS USING DATA Fifth Edition Chapter 4 Describing the Relation between Two Variables 4.1 Scatter Diagrams and Correlation Learning Objectives 1. Draw and interpret scatter diagrams
More informationSample 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 informationM 140 Test 1 A Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points Total 60
M 140 Test 1 A Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points 1-10 10 11 3 12 4 13 3 14 10 15 14 16 10 17 7 18 4 19 4 Total 60 Multiple choice questions (1 point each) For questions
More informationBiology 345: Biometry Fall 2005 SONOMA STATE UNIVERSITY Lab Exercise 5 Residuals and multiple regression Introduction
Biology 345: Biometry Fall 2005 SONOMA STATE UNIVERSITY Lab Exercise 5 Residuals and multiple regression Introduction In this exercise, we will gain experience assessing scatterplots in regression and
More informationAdvanced ANOVA Procedures
Advanced ANOVA Procedures Session Lecture Outline:. An example. An example. Two-way ANOVA. An example. Two-way Repeated Measures ANOVA. MANOVA. ANalysis of Co-Variance (): an ANOVA procedure whereby the
More informationOne-Way ANOVAs t-test two statistically significant Type I error alpha null hypothesis dependant variable Independent variable three levels;
1 One-Way ANOVAs We have already discussed the t-test. The t-test is used for comparing the means of two groups to determine if there is a statistically significant difference between them. The t-test
More informationChapter 1: Introduction to Statistics
Chapter 1: Introduction to Statistics Variables A variable is a characteristic or condition that can change or take on different values. Most research begins with a general question about the relationship
More informationExample of Interpreting and Applying a Multiple Regression Model
Example of Interpreting and Applying a Multiple Regression We'll use the same data set as for the bivariate correlation example -- the criterion is 1 st year graduate grade point average and the predictors
More informationSPRING 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 informationRegression models, R solution day7
Regression models, R solution day7 Exercise 1 In this exercise, we shall look at the differences in vitamin D status for women in 4 European countries Read and prepare the data: vit
More information10. LINEAR REGRESSION AND CORRELATION
1 10. LINEAR REGRESSION AND CORRELATION The contingency table describes an association between two nominal (categorical) variables (e.g., use of supplemental oxygen and mountaineer survival ). We have
More informationList of Figures. List of Tables. Preface to the Second Edition. Preface to the First Edition
List of Figures List of Tables Preface to the Second Edition Preface to the First Edition xv xxv xxix xxxi 1 What Is R? 1 1.1 Introduction to R................................ 1 1.2 Downloading and Installing
More informationBIOL 458 BIOMETRY Lab 7 Multi-Factor ANOVA
BIOL 458 BIOMETRY Lab 7 Multi-Factor ANOVA PART 1: Introduction to Factorial ANOVA ingle factor or One - Way Analysis of Variance can be used to test the null hypothesis that k or more treatment or group
More informationIntroduction to Statistical Data Analysis I
Introduction to Statistical Data Analysis I JULY 2011 Afsaneh Yazdani Preface What is Statistics? Preface What is Statistics? Science of: designing studies or experiments, collecting data Summarizing/modeling/analyzing
More informationGlucose Assay Kit. Catalog Number KA assays Version: 03. Intended for research use only.
Glucose Assay Kit Catalog Number KA1648 100 assays Version: 03 Intended for research use only www.abnova.com Table of Contents Introduction... 3 Intended Use... 3 Background... 3 Principle of the Assay...
More information1. Below is the output of a 2 (gender) x 3(music type) completely between subjects factorial ANOVA on stress ratings
SPSS 3 Practice Interpretation questions A researcher is interested in the effects of music on stress levels, and how stress levels might be related to anxiety and life satisfaction. 1. Below is the output
More information11/24/2017. Do not imply a cause-and-effect relationship
Correlational research is used to describe the relationship between two or more naturally occurring variables. Is age related to political conservativism? Are highly extraverted people less afraid of rejection
More information(C) Jamalludin Ab Rahman
SPSS Note The GLM Multivariate procedure is based on the General Linear Model procedure, in which factors and covariates are assumed to have a linear relationship to the dependent variable. Factors. Categorical
More informationAnswer all three questions. All questions carry equal marks.
UNIVERSITY OF DUBLIN TRINITY COLLEGE Faculty of Engineering, Mathematics and Science School of Computer Science and Statistics Postgraduate Diploma in Statistics Trinity Term 2 Introduction to Regression
More informationwere selected at random, the probability that it is white or black would be 2 3.
Math 1342 Ch, 4-6 Review Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) What is the set of all possible outcomes of a probability experiment?
More informationFinal Exam PS 217, Spring 2004
Final Exam PS 217, Spring 24 1. What is the relationship between power and effect size? That is, when you are considering a research design in which there is a large effect size, what are the implications
More informationSimple Linear Regression
Simple Linear Regression Assoc. Prof Dr Sarimah Abdullah Unit of Biostatistics & Research Methodology School of Medical Sciences, Health Campus Universiti Sains Malaysia Regression Regression analysis
More informationHS Exam 1 -- March 9, 2006
Please write your name on the back. Don t forget! Part A: Short answer, multiple choice, and true or false questions. No use of calculators, notes, lab workbooks, cell phones, neighbors, brain implants,
More informationRESPONSE SURFACE MODELING AND OPTIMIZATION TO ELUCIDATE THE DIFFERENTIAL EFFECTS OF DEMOGRAPHIC CHARACTERISTICS ON HIV PREVALENCE IN SOUTH AFRICA
RESPONSE SURFACE MODELING AND OPTIMIZATION TO ELUCIDATE THE DIFFERENTIAL EFFECTS OF DEMOGRAPHIC CHARACTERISTICS ON HIV PREVALENCE IN SOUTH AFRICA W. Sibanda 1* and P. Pretorius 2 1 DST/NWU Pre-clinical
More informationEXECUTIVE SUMMARY DATA AND PROBLEM
EXECUTIVE SUMMARY Every morning, almost half of Americans start the day with a bowl of cereal, but choosing the right healthy breakfast is not always easy. Consumer Reports is therefore calculated by an
More informationThe following are questions that students had difficulty with on the first three exams.
The following are questions that students had difficulty with on the first three exams. Exam 1 1. A measure has construct validity if it: a) really measures what it is supposed to measure b) appears, on
More informationChapter 3: Describing Relationships
Chapter 3: Describing Relationships Objectives: Students will: Construct and interpret a scatterplot for a set of bivariate data. Compute and interpret the correlation, r, between two variables. Demonstrate
More informationChapter 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 informationAP 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 informationCentering Predictors
Centering Predictors Longitudinal Data Analysis Workshop Section 3 University of Georgia: Institute for Interdisciplinary Research in Education and Human Development Section 3: Centering Covered this Section
More informationStatistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions
Readings: OpenStax Textbook - Chapters 1 5 (online) Appendix D & E (online) Plous - Chapters 1, 5, 6, 13 (online) Introductory comments Describe how familiarity with statistical methods can - be associated
More informationPolymer Technology Systems, Inc. CardioChek PA Comparison Study
Polymer Technology Systems, Inc. CardioChek PA Comparison Study Evaluation Protocol: Accuracy Precision Clinical Correlation PTS Panels Lipid Panel Test Strips For Use in Comparisons to a Reference Laboratory
More informationLIPASE liquicolor. Design Verification. Multipurpose Reagent
Design Verification LIPASE liquicolor Multipurpose Reagent CONTENTS 1 Introduction... 2 2 Imprecision... 2 3 Linearity and Detection Limit... 2 3.1 Linearity... 2 3.2 Detection Limit... 3 4 Recovery of
More informationName: Biostatistics 1 st year Comprehensive Examination: Applied Take Home exam. Due May 29 th, 2015 by 5pm. Late exams will not be accepted.
Name: Biostatistics 1 st year Comprehensive Examination: Applied Take Home exam Due May 29 th, 2015 by 5pm. Late exams will not be accepted. Instructions: 1. There are 2 questions and 4 pages. Answer each
More informationAddendum: Multiple Regression Analysis (DRAFT 8/2/07)
Addendum: Multiple Regression Analysis (DRAFT 8/2/07) When conducting a rapid ethnographic assessment, program staff may: Want to assess the relative degree to which a number of possible predictive variables
More informationBe sure to show all calculations so that you can receive partial credit for your work!
Agronomy 365T Exam 3 Spring 2007 Exam Score: Name TA Lab Hour Be sure to show all calculations so that you can receive partial credit for your work! 1) List 8 of the plant essential miconutrients for plant
More informationTable of Contents. Plots. Essential Statistics for Nursing Research 1/12/2017
Essential Statistics for Nursing Research Kristen Carlin, MPH Seattle Nursing Research Workshop January 30, 2017 Table of Contents Plots Descriptive statistics Sample size/power Correlations Hypothesis
More informationSUMMER 2011 RE-EXAM PSYF11STAT - STATISTIK
SUMMER 011 RE-EXAM PSYF11STAT - STATISTIK Full Name: Årskortnummer: Date: This exam is made up of three parts: Part 1 includes 30 multiple choice questions; Part includes 10 matching questions; and Part
More informationEXPERIMENT 3 ENZYMATIC QUANTITATION OF GLUCOSE
EXPERIMENT 3 ENZYMATIC QUANTITATION OF GLUCOSE This is a team experiment. Each team will prepare one set of reagents; each person will do an individual unknown and each team will submit a single report.
More informationPerformance of Median and Least Squares Regression for Slightly Skewed Data
World Academy of Science, Engineering and Technology 9 Performance of Median and Least Squares Regression for Slightly Skewed Data Carolina Bancayrin - Baguio Abstract This paper presents the concept of
More informationMEA DISCUSSION PAPERS
Inference Problems under a Special Form of Heteroskedasticity Helmut Farbmacher, Heinrich Kögel 03-2015 MEA DISCUSSION PAPERS mea Amalienstr. 33_D-80799 Munich_Phone+49 89 38602-355_Fax +49 89 38602-390_www.mea.mpisoc.mpg.de
More informationStatistical Reasoning in Public Health Biostatistics 612, 2009, HW#3
Statistical Reasoning in Public Health Biostatistics 612, 2009, HW#3 1. A random sample of 200 patients admitted to an adult intensive care unit (ICU) was collected to examine factors associated with death
More informationChapter 13 Estimating the Modified Odds Ratio
Chapter 13 Estimating the Modified Odds Ratio Modified odds ratio vis-à-vis modified mean difference To a large extent, this chapter replicates the content of Chapter 10 (Estimating the modified mean difference),
More informationStatistical Methods Exam I Review
Statistical Methods Exam I Review Professor: Dr. Kathleen Suchora SI Leader: Camila M. DISCLAIMER: I have created this review sheet to supplement your studies for your first exam. I am a student here at
More informationSPINE ROAD HIGH SCHOOL
SPINE ROAD HIGH SCHOOL LIFE SCIENCES DEPARTMENT LIFE SCIENCES CONTROL TEST 2-2017 EXAMINER: T. GABRIELS MODERATOR: Z. SHADE GRADE 11 TIME: 1 HOUR MARKS: 60 INSTRUCTIONS AND INFORMATION Read the following
More informationStat 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 informationStudent Number: THE UNIVERSITY OF MANITOBA April 10, 2000, 9:00 AM - 12:00 PM Page 1 (of 4) Biochemistry II Lab Section Final Examination
Name: Student Number: THE UNIVERSITY OF MANITOBA April 10, 2000, 9:00 AM - 12:00 PM Page 1 (of 4) Biochemistry II Lab Section Final Examination Examiner: Dr. A. Scoot 1. Answer ALL questions.. 2. Questions
More informationUNIVERSITY of PENNSYLVANIA CIS 520: Machine Learning Final, Fall 2014
UNIVERSITY of PENNSYLVANIA CIS 520: Machine Learning Final, Fall 2014 Exam policy: This exam allows two one-page, two-sided cheat sheets (i.e. 4 sides); No other materials. Time: 2 hours. Be sure to write
More informationMultiple Linear Regression Analysis
Revised July 2018 Multiple Linear Regression Analysis This set of notes shows how to use Stata in multiple regression analysis. It assumes that you have set Stata up on your computer (see the Getting Started
More information