2.4.1 STA-O Assessment 2

Size: px
Start display at page:

Download "2.4.1 STA-O Assessment 2"

Transcription

1 2.4.1 STA-O Assessment 2 Work all the problems and determine the correct answers. When you have completed the assessment, open the Assessment 2 activity and input your responses into the online grading system. 1. Which of the following does not need to be done when constructing a frequency distribution? A) select the number of classes desired B) find the range C) make the class width an even number D) use classes that are mutually exclusive 2. What are the boundaries of the class 12-16? A) 11.5 and 16.5 B) 10 and 18 C) 12 and 16 D) 4 3. Which of the following pairs of class limits would be appropriate for grouping the numbers 12, 15, 10, and 17? A) 9-13 and B) and C) and D) and Find the class with the least number of data values. A) B) C) D) Page 1

2 5. Which of the following could be a cumulative frequency graph? A) B) C) D) Page 2

3 6. How many values are in the data set whose histogram is shown below? A) 6 B) 22 C) 76 D) An automobile dealer wants to construct a pie graph to represent types of cars sold in July. He sold 72 cars, 16 of which were convertibles. How many degrees should be used for the convertibles section? A) 60 B) 80 C) 100 D) A Pareto chart does not have which of the following properties? A) frequencies displayed by the heights of vertical bars B) frequencies arranged from highest to lowest C) quantitative variable on the horizontal axis D) classes of data are categorical 9. A weatherman records the amount of rain that fell in Portland, Oregon each day for a year. What type of graph should he use to show how rainfall changes during the year? A) pie graph B) pictograph C) time series graph D) Pareto chart Page 3

4 10. The two variables in a scatter plot are called the A) independent variable and dependent variable. B) relative frequency and relative proportion. C) spread and pattern. D) lines and points. 11. Determine the type of relationship shown in the figure below. A) positive B) negative C) multiple D) There is no relationship. 12. In a unimodal, symmetrical distribution as shown in the figure below, A) the mean is the same as the median, but the mode can be different. B) the mean, the median, and the mode are the same. C) the median and the mode are the same, but the mean can be different. D) the mean, the median, and the mode are different. Page 4

5 13. A student received the following grades last semester. Find the student's semester grade point average. Course Credits Grade/Points Statistics 4 A / 4.0 Physics 5 A / 4.0 Sociology 3 B / 3.0 Literature 2 B / 3.0 Tennis 1 D / 1.0 A) 3.00 B) 3.47 C) 3.24 D) A characteristic or measure obtained by using all the data values for a specific population is called a. A) variable B) mode C) statistic D) parameter 15. Given that the variance for a data set is 1.20, what is the standard deviation? A) 1.10 B) 1.44 C) 1.20 D) If a data set has 25 values and a standard deviation 7.4, then the variance is. A) 54.8 B) 1.5 C) 11.0 D) Given that the mean of a set of data is 25 and the standard deviation is 3, what is the coefficient of variation? A) 0.12 B) 12% C) 8.33 D) 833% Page 5

6 18. A baseball player has a batting average of each week of the season, with a standard deviation of What is the z score when he bats one week? A) B) C) D) Indicate which student has the higher z score. Art Major Theater Major A) The art major has a higher score than the theater major. B) The theater major has a higher score than the art major. C) Both students have the same score. D) Neither student received a positive score; therefore, the higher score cannot be determined. 20. Using the table below, what grade would a student who ranked in the 50th percentile receive. Grade Class Boundaries Frequency A B C D F A) B B) C C) D D) F 21. The size of the box in a boxplot shows the of the data set. A) difference between the mean and the median B) variance C) skewness D) interquartile range Page 6

7 22. Given the following boxplot where m is the median value, what statement could be made about the distribution of the data? A) The distribution is approximately symmetric. B) The distribution is positively skewed. C) The distribution is negatively skewed. D) The data are nominal and consequently can not be identified as symmetric or skewed. 23. Identify the five-number summary of the following data set. 7, 11, 21, 28, 32, 33, 37, 43. A) 7, 16, 30, 35, 43 B) 7, 21, 30, 33, 43 C) 7, 11, 28, 33, 43 D) 7, 21, 26.5, 33, 43 Page 7

Population. Sample. AP Statistics Notes for Chapter 1 Section 1.0 Making Sense of Data. Statistics: Data Analysis:

Population. Sample. AP Statistics Notes for Chapter 1 Section 1.0 Making Sense of Data. Statistics: Data Analysis: Section 1.0 Making Sense of Data Statistics: Data Analysis: Individuals objects described by a set of data Variable any characteristic of an individual Categorical Variable places an individual into one

More information

Medical Statistics 1. Basic Concepts Farhad Pishgar. Defining the data. Alive after 6 months?

Medical Statistics 1. Basic Concepts Farhad Pishgar. Defining the data. Alive after 6 months? Medical Statistics 1 Basic Concepts Farhad Pishgar Defining the data Population and samples Except when a full census is taken, we collect data on a sample from a much larger group called the population.

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

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

Introduction to Statistical Data Analysis I

Introduction 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 information

STT 200 Test 1 Green Give your answer in the scantron provided. Each question is worth 2 points.

STT 200 Test 1 Green Give your answer in the scantron provided. Each question is worth 2 points. STT 200 Test 1 Green Give your answer in the scantron provided. Each question is worth 2 points. For Questions 1 & 2: It is known that the distribution of starting salaries for MSU Education majors has

More information

PRINTABLE VERSION. Quiz 1. True or False: The amount of rainfall in your state last month is an example of continuous data.

PRINTABLE VERSION. Quiz 1. True or False: The amount of rainfall in your state last month is an example of continuous data. Question 1 PRINTABLE VERSION Quiz 1 True or False: The amount of rainfall in your state last month is an example of continuous data. a) True b) False Question 2 True or False: The standard deviation is

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the 1) Which of the following is the properly rounded mean for the given data? 7, 8, 13, 9, 10, 11 A)

More information

Table of Contents. Plots. Essential Statistics for Nursing Research 1/12/2017

Table 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 information

Lesson 9 Presentation and Display of Quantitative Data

Lesson 9 Presentation and Display of Quantitative Data Lesson 9 Presentation and Display of Quantitative Data Learning Objectives All students will identify and present data using appropriate graphs, charts and tables. All students should be able to justify

More information

Frequency distributions

Frequency distributions Applied Biostatistics distributions Martin Bland Professor of Health Statistics University of York http://www-users.york.ac.uk/~mb55/ Types of data Qualitative data arise when individuals may fall into

More information

Undertaking statistical analysis of

Undertaking statistical analysis of Descriptive statistics: Simply telling a story Laura Delaney introduces the principles of descriptive statistical analysis and presents an overview of the various ways in which data can be presented by

More information

Probability and Statistics. Chapter 1

Probability and Statistics. Chapter 1 Probability and Statistics Chapter 1 Individuals and Variables Individuals and Variables Individuals are objects described by data. Individuals and Variables Individuals are objects described by data.

More information

Chapter 1. Picturing Distributions with Graphs

Chapter 1. Picturing Distributions with Graphs Chapter 1 Picturing Distributions with Graphs Statistics Statistics is a science that involves the extraction of information from numerical data obtained during an experiment or from a sample. It involves

More information

HW 1 - Bus Stat. Student:

HW 1 - Bus Stat. Student: HW 1 - Bus Stat Student: 1. An identification of police officers by rank would represent a(n) level of measurement. A. Nominative C. Interval D. Ratio 2. A(n) variable is a qualitative variable such that

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

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

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

Outline. Practice. Confounding Variables. Discuss. Observational Studies vs Experiments. Observational Studies vs Experiments

Outline. Practice. Confounding Variables. Discuss. Observational Studies vs Experiments. Observational Studies vs Experiments 1 2 Outline Finish sampling slides from Tuesday. Study design what do you do with the subjects/units once you select them? (OI Sections 1.4-1.5) Observational studies vs. experiments Descriptive statistics

More information

Data, frequencies, and distributions. Martin Bland. Types of data. Types of data. Clinical Biostatistics

Data, frequencies, and distributions. Martin Bland. Types of data. Types of data. Clinical Biostatistics Clinical Biostatistics Data, frequencies, and distributions Martin Bland Professor of Health Statistics University of York http://martinbland.co.uk/ Types of data Qualitative data arise when individuals

More information

Section I: Multiple Choice Select the best answer for each question.

Section I: Multiple Choice Select the best answer for each question. Chapter 1 AP Statistics Practice Test (TPS- 4 p78) Section I: Multiple Choice Select the best answer for each question. 1. You record the age, marital status, and earned income of a sample of 1463 women.

More information

Stats 95. Statistical analysis without compelling presentation is annoying at best and catastrophic at worst. From raw numbers to meaningful pictures

Stats 95. Statistical analysis without compelling presentation is annoying at best and catastrophic at worst. From raw numbers to meaningful pictures Stats 95 Statistical analysis without compelling presentation is annoying at best and catastrophic at worst. From raw numbers to meaningful pictures Stats 95 Why Stats? 200 countries over 200 years http://www.youtube.com/watch?v=jbksrlysojo

More information

AP Psych - Stat 1 Name Period Date. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

AP Psych - Stat 1 Name Period Date. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. AP Psych - Stat 1 Name Period Date MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) In a set of incomes in which most people are in the $15,000

More information

AP Psych - Stat 2 Name Period Date. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

AP Psych - Stat 2 Name Period Date. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. AP Psych - Stat 2 Name Period Date MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) In a set of incomes in which most people are in the $15,000

More information

PRINCIPLES OF STATISTICS

PRINCIPLES OF STATISTICS PRINCIPLES OF STATISTICS STA-201-TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis

More information

Test 1C AP Statistics Name:

Test 1C AP Statistics Name: Test 1C AP Statistics Name: Part 1: Multiple Choice. Circle the letter corresponding to the best answer. 1. At the beginning of the school year, a high-school teacher asks every student in her classes

More information

CHAPTER 2. MEASURING AND DESCRIBING VARIABLES

CHAPTER 2. MEASURING AND DESCRIBING VARIABLES 4 Chapter 2 CHAPTER 2. MEASURING AND DESCRIBING VARIABLES 1. A. Age: name/interval; military dictatorship: value/nominal; strongly oppose: value/ ordinal; election year: name/interval; 62 percent: value/interval;

More information

STOR 155 Section 2 Midterm Exam 1 (9/29/09)

STOR 155 Section 2 Midterm Exam 1 (9/29/09) STOR 155 Section 2 Midterm Exam 1 (9/29/09) Name: PID: Instructions: Both the exam and the bubble sheet will be collected. On the bubble sheet, print your name and ID number, sign the honor pledge, also

More information

Still important ideas

Still 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 information

UNIVERSITY 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 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 information

Here are the various choices. All of them are found in the Analyze menu in SPSS, under the sub-menu for Descriptive Statistics :

Here are the various choices. All of them are found in the Analyze menu in SPSS, under the sub-menu for Descriptive Statistics : Descriptive Statistics in SPSS When first looking at a dataset, it is wise to use descriptive statistics to get some idea of what your data look like. Here is a simple dataset, showing three different

More information

Statistics. Nur Hidayanto PSP English Education Dept. SStatistics/Nur Hidayanto PSP/PBI

Statistics. Nur Hidayanto PSP English Education Dept. SStatistics/Nur Hidayanto PSP/PBI Statistics Nur Hidayanto PSP English Education Dept. RESEARCH STATISTICS WHAT S THE RELATIONSHIP? RESEARCH RESEARCH positivistic Prepositivistic Postpositivistic Data Initial Observation (research Question)

More information

Research Methods in Forest Sciences: Learning Diary. Yoko Lu December Research process

Research Methods in Forest Sciences: Learning Diary. Yoko Lu December Research process Research Methods in Forest Sciences: Learning Diary Yoko Lu 285122 9 December 2016 1. Research process It is important to pursue and apply knowledge and understand the world under both natural and social

More information

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions

Statistics 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 information

Still important ideas

Still important ideas Readings: OpenStax - Chapters 1 11 + 13 & Appendix D & E (online) Plous - Chapters 2, 3, and 4 Chapter 2: Cognitive Dissonance, Chapter 3: Memory and Hindsight Bias, Chapter 4: Context Dependence Still

More information

CHAPTER 3 Describing Relationships

CHAPTER 3 Describing Relationships CHAPTER 3 Describing Relationships 3.1 Scatterplots and Correlation The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Reading Quiz 3.1 True/False 1.

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

Chapter 1: Explaining Behavior

Chapter 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 information

What you should know before you collect data. BAE 815 (Fall 2017) Dr. Zifei Liu

What you should know before you collect data. BAE 815 (Fall 2017) Dr. Zifei Liu What you should know before you collect data BAE 815 (Fall 2017) Dr. Zifei Liu Zifeiliu@ksu.edu Types and levels of study Descriptive statistics Inferential statistics How to choose a statistical test

More information

Statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making effective decisions

Statistics 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 information

Homework Exercises for PSYC 3330: Statistics for the Behavioral Sciences

Homework Exercises for PSYC 3330: Statistics for the Behavioral Sciences Homework Exercises for PSYC 3330: Statistics for the Behavioral Sciences compiled and edited by Thomas J. Faulkenberry, Ph.D. Department of Psychological Sciences Tarleton State University Version: July

More information

V. Gathering and Exploring Data

V. Gathering and Exploring Data V. Gathering and Exploring Data With the language of probability in our vocabulary, we re now ready to talk about sampling and analyzing data. Data Analysis We can divide statistical methods into roughly

More information

NORTH SOUTH UNIVERSITY TUTORIAL 1

NORTH SOUTH UNIVERSITY TUTORIAL 1 NORTH SOUTH UNIVERSITY TUTORIAL 1 REVIEW FROM BIOSTATISTICS I AHMED HOSSAIN,PhD Data Management and Analysis AHMED HOSSAIN,PhD - Data Management and Analysis 1 DATA TYPES/ MEASUREMENT SCALES Categorical:

More information

Math 2200 First Mid-Term Exam September 22, 2010

Math 2200 First Mid-Term Exam September 22, 2010 Math 2200 First Mid-Term Exam September 22, 2010 This exam has 25 questions of 4 points each. All answers have been rounded-off so if your calculated answer differs from the given options slightly, choose

More information

M 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 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 information

Six Sigma Glossary Lean 6 Society

Six Sigma Glossary Lean 6 Society Six Sigma Glossary Lean 6 Society ABSCISSA ACCEPTANCE REGION ALPHA RISK ALTERNATIVE HYPOTHESIS ASSIGNABLE CAUSE ASSIGNABLE VARIATIONS The horizontal axis of a graph The region of values for which the null

More information

Readings: Textbook readings: OpenStax - Chapters 1 4 Online readings: Appendix D, E & F Online readings: Plous - Chapters 1, 5, 6, 13

Readings: Textbook readings: OpenStax - Chapters 1 4 Online readings: Appendix D, E & F Online readings: Plous - Chapters 1, 5, 6, 13 Readings: Textbook readings: OpenStax - Chapters 1 4 Online readings: Appendix D, E & F Online readings: Plous - Chapters 1, 5, 6, 13 Introductory comments Describe how familiarity with statistical methods

More information

Statistical Methods Exam I Review

Statistical 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 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

q2_2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

q2_2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. q2_2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. A sporting goods retailer conducted a customer survey to determine its customers primary reason

More information

Summarizing Data. (Ch 1.1, 1.3, , 2.4.3, 2.5)

Summarizing Data. (Ch 1.1, 1.3, , 2.4.3, 2.5) 1 Summarizing Data (Ch 1.1, 1.3, 1.10-1.13, 2.4.3, 2.5) Populations and Samples An investigation of some characteristic of a population of interest. Example: You want to study the average GPA of juniors

More information

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 10, 11) Please note chapter

More information

On the purpose of testing:

On the purpose of testing: Why Evaluation & Assessment is Important Feedback to students Feedback to teachers Information to parents Information for selection and certification Information for accountability Incentives to increase

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

MINUTE TO WIN IT: NAMING THE PRESIDENTS OF THE UNITED STATES

MINUTE TO WIN IT: NAMING THE PRESIDENTS OF THE UNITED STATES MINUTE TO WIN IT: NAMING THE PRESIDENTS OF THE UNITED STATES THE PRESIDENTS OF THE UNITED STATES Project: Focus on the Presidents of the United States Objective: See how many Presidents of the United States

More information

How to interpret scientific & statistical graphs

How to interpret scientific & statistical graphs How to interpret scientific & statistical graphs Theresa A Scott, MS Department of Biostatistics theresa.scott@vanderbilt.edu http://biostat.mc.vanderbilt.edu/theresascott 1 A brief introduction Graphics:

More information

Biostatistics. Donna Kritz-Silverstein, Ph.D. Professor Department of Family & Preventive Medicine University of California, San Diego

Biostatistics. Donna Kritz-Silverstein, Ph.D. Professor Department of Family & Preventive Medicine University of California, San Diego Biostatistics Donna Kritz-Silverstein, Ph.D. Professor Department of Family & Preventive Medicine University of California, San Diego (858) 534-1818 dsilverstein@ucsd.edu Introduction Overview of statistical

More information

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo

Describe 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 information

MATH 1040 Skittles Data Project

MATH 1040 Skittles Data Project Laura Boren MATH 1040 Data Project For our project in MATH 1040 everyone in the class was asked to buy a 2.17 individual sized bag of skittles and count the number of each color of candy in the bag. The

More information

Chapter 7: Descriptive Statistics

Chapter 7: Descriptive Statistics Chapter Overview Chapter 7 provides an introduction to basic strategies for describing groups statistically. Statistical concepts around normal distributions are discussed. The statistical procedures of

More information

Before we get started:

Before we get started: Before we get started: http://arievaluation.org/projects-3/ AEA 2018 R-Commander 1 Antonio Olmos Kai Schramm Priyalathta Govindasamy Antonio.Olmos@du.edu AntonioOlmos@aumhc.org AEA 2018 R-Commander 2 Plan

More information

Data Science and Statistics in Research: unlocking the power of your data

Data Science and Statistics in Research: unlocking the power of your data Data Science and Statistics in Research: unlocking the power of your data Session 1.4: Data and variables 1/ 33 OUTLINE Types of data Types of variables Presentation of data Tables Summarising Data 2/

More information

STAT243 LS: Intro to Probability and Statistics Quiz 1, Feb 10, 2017 KEY

STAT243 LS: Intro to Probability and Statistics Quiz 1, Feb 10, 2017 KEY STAT243 LS: Intro to Probability and Statistics Quiz 1, Feb 10, 2017 KEY This is a 50-min quiz. Students may use a page of note (front and back), and a calculator, but nothing else is allowed. 1. A researcher

More information

REVIEW from Chapter 1 : Key Elements of a Statistical Problem

REVIEW from Chapter 1 : Key Elements of a Statistical Problem REVIEW from Chapter 1 : Key Elements of a Statistical Problem Describe the population Describe the variable/s of interest Describe the sample Describe the inference Describe sources of possible errors/bias

More information

Chapter 1: Introduction to Statistics

Chapter 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 information

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo

Describe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo Please note the page numbers listed for the Lind book may vary by a page or two depending on which version of the textbook you have. Readings: Lind 1 11 (with emphasis on chapters 5, 6, 7, 8, 9 10 & 11)

More information

SCATTER PLOTS AND TREND LINES

SCATTER PLOTS AND TREND LINES 1 SCATTER PLOTS AND TREND LINES LEARNING MAP INFORMATION STANDARDS 8.SP.1 Construct and interpret scatter s for measurement to investigate patterns of between two quantities. Describe patterns such as

More information

Statistics is a broad mathematical discipline dealing with

Statistics is a broad mathematical discipline dealing with Statistical Primer for Cardiovascular Research Descriptive Statistics and Graphical Displays Martin G. Larson, SD Statistics is a broad mathematical discipline dealing with techniques for the collection,

More information

Readings: 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 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 information

10/4/2007 MATH 171 Name: Dr. Lunsford Test Points Possible

10/4/2007 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 information

Quantitative Methods in Computing Education Research (A brief overview tips and techniques)

Quantitative Methods in Computing Education Research (A brief overview tips and techniques) Quantitative Methods in Computing Education Research (A brief overview tips and techniques) Dr Judy Sheard Senior Lecturer Co-Director, Computing Education Research Group Monash University judy.sheard@monash.edu

More information

Key: 18 5 = 1.85 cm. 5 a Stem Leaf. Key: 2 0 = 20 points. b Stem Leaf Key: 2 0 = 20 cm. 6 a Stem Leaf. c Stem Leaf

Key: 18 5 = 1.85 cm. 5 a Stem Leaf. Key: 2 0 = 20 points. b Stem Leaf Key: 2 0 = 20 cm. 6 a Stem Leaf. c Stem Leaf Answers EXERCISE. D D C B Numerical: a, b, c Categorical: c, d, e, f, g Discrete: c Continuous: a, b C 9 C Categorical B A Categorical and ordinal Discrete Ordinal D EXERCISE. Stem Leaf 9 9 9 Key: = Stem

More information

(a) 50% of the shows have a rating greater than: impossible to tell

(a) 50% of the shows have a rating greater than: impossible to tell q 1. Here is a histogram of the Distribution of grades on a quiz. How many students took the quiz? What percentage of students scored below a 60 on the quiz? (Assume left-hand endpoints are included in

More information

Chapter 5. Describing numerical data

Chapter 5. Describing numerical data Chapter 5 Describing numerical data 1 Topics Numerical descriptive measures Location Variability Other measurements Graphical methods Histogram Boxplot, Stem and leaf plot Scatter plot for bivariate data

More information

manipulation influences other variables, the researcher is conducting a(n)

manipulation influences other variables, the researcher is conducting a(n) Math 1342 Finals Review Selective Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 1) If a researcher manipulates one of the variables and tries to

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Statistics Final Review Semeter I Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) The Centers for Disease

More information

Descriptive Statistics Lecture

Descriptive Statistics Lecture Definitions: Lecture Psychology 280 Orange Coast College 2/1/2006 Statistics have been defined as a collection of methods for planning experiments, obtaining data, and then analyzing, interpreting and

More information

UNIT V: Analysis of Non-numerical and Numerical Data SWK 330 Kimberly Baker-Abrams. In qualitative research: Grounded Theory

UNIT V: Analysis of Non-numerical and Numerical Data SWK 330 Kimberly Baker-Abrams. In qualitative research: Grounded Theory UNIT V: Analysis of Non-numerical and Numerical Data SWK 330 Kimberly Baker-Abrams In qualitative research: analysis is on going (occurs as data is gathered) must be careful not to draw conclusions before

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

STT315 Chapter 2: Methods for Describing Sets of Data - Part 2

STT315 Chapter 2: Methods for Describing Sets of Data - Part 2 Chapter 2.5 Interpreting Standard Deviation Chebyshev Theorem Empirical Rule Chebyshev Theorem says that for ANY shape of data distribution at least 3/4 of all data fall no farther from the mean than 2

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

Unit 7 Comparisons and Relationships

Unit 7 Comparisons and Relationships Unit 7 Comparisons and Relationships Objectives: To understand the distinction between making a comparison and describing a relationship To select appropriate graphical displays for making comparisons

More information

AP Stats Review for Midterm

AP Stats Review for Midterm AP Stats Review for Midterm NAME: Format: 10% of final grade. There will be 20 multiple-choice questions and 3 free response questions. The multiple-choice questions will be worth 2 points each and the

More information

Empirical Rule ( rule) applies ONLY to Normal Distribution (modeled by so called bell curve)

Empirical Rule ( rule) applies ONLY to Normal Distribution (modeled by so called bell curve) Chapter 2.5 Interpreting Standard Deviation Chebyshev Theorem Empirical Rule Chebyshev Theorem says that for ANY shape of data distribution at least 3/4 of all data fall no farther from the mean than 2

More information

Chapter 2--Norms and Basic Statistics for Testing

Chapter 2--Norms and Basic Statistics for Testing Chapter 2--Norms and Basic Statistics for Testing Student: 1. Statistical procedures that summarize and describe a series of observations are called A. inferential statistics. B. descriptive statistics.

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

Students will understand the definition of mean, median, mode and standard deviation and be able to calculate these functions with given set of

Students will understand the definition of mean, median, mode and standard deviation and be able to calculate these functions with given set of Students will understand the definition of mean, median, mode and standard deviation and be able to calculate these functions with given set of numbers. Also, students will understand why some measures

More information

Stem-and-Leaf Displays. Example: Binge Drinking. Stem-and-Leaf Displays 1/29/2016. Section 3.2: Displaying Numerical Data: Stem-and-Leaf Displays

Stem-and-Leaf Displays. Example: Binge Drinking. Stem-and-Leaf Displays 1/29/2016. Section 3.2: Displaying Numerical Data: Stem-and-Leaf Displays Stem-and-Leaf Displays Section 3.2: Displaying Numerical Data: Stem-and-Leaf Displays Compact way to summarize univariate numerical data. Each is broken into 2 pieces: Stem and Leaf Stem the first part

More information

VU Biostatistics and Experimental Design PLA.216

VU Biostatistics and Experimental Design PLA.216 VU Biostatistics and Experimental Design PLA.216 Julia Feichtinger Postdoctoral Researcher Institute of Computational Biotechnology Graz University of Technology Outline for Today About this course Background

More information

LOTS of NEW stuff right away 2. The book has calculator commands 3. About 90% of technology by week 5

LOTS of NEW stuff right away 2. The book has calculator commands 3. About 90% of technology by week 5 1.1 1. LOTS of NEW stuff right away 2. The book has calculator commands 3. About 90% of technology by week 5 1 Three adventurers are in a hot air balloon. Soon, they find themselves lost in a canyon in

More information

Standard Scores. Richard S. Balkin, Ph.D., LPC-S, NCC

Standard Scores. Richard S. Balkin, Ph.D., LPC-S, NCC Standard Scores Richard S. Balkin, Ph.D., LPC-S, NCC 1 Normal Distributions While Best and Kahn (2003) indicated that the normal curve does not actually exist, measures of populations tend to demonstrate

More information

MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION

MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION MBA 605 Business Analytics Don Conant, PhD. GETTING TO THE STANDARD NORMAL DISTRIBUTION Variables In the social sciences data are the observed and/or measured characteristics of individuals and groups

More information

Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14

Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14 Readings: Textbook readings: OpenStax - Chapters 1 11 Online readings: Appendix D, E & F Plous Chapters 10, 11, 12 and 14 Still important ideas Contrast the measurement of observable actions (and/or characteristics)

More information

Identify two variables. Classify them as explanatory or response and quantitative or explanatory.

Identify two variables. Classify them as explanatory or response and quantitative or explanatory. OLI Module 2 - Examining Relationships Objective Summarize and describe the distribution of a categorical variable in context. Generate and interpret several different graphical displays of the distribution

More information

Distributions and Samples. Clicker Question. Review

Distributions and Samples. Clicker Question. Review Distributions and Samples Clicker Question The major difference between an observational study and an experiment is that A. An experiment manipulates features of the situation B. An experiment does not

More information

AP Statistics. Semester One Review Part 1 Chapters 1-5

AP Statistics. Semester One Review Part 1 Chapters 1-5 AP Statistics Semester One Review Part 1 Chapters 1-5 AP Statistics Topics Describing Data Producing Data Probability Statistical Inference Describing Data Ch 1: Describing Data: Graphically and Numerically

More information

Measurement and Descriptive Statistics. Katie Rommel-Esham Education 604

Measurement and Descriptive Statistics. Katie Rommel-Esham Education 604 Measurement and Descriptive Statistics Katie Rommel-Esham Education 604 Frequency Distributions Frequency table # grad courses taken f 3 or fewer 5 4-6 3 7-9 2 10 or more 4 Pictorial Representations Frequency

More information

ANOVA in SPSS (Practical)

ANOVA in SPSS (Practical) ANOVA in SPSS (Practical) Analysis of Variance practical In this practical we will investigate how we model the influence of a categorical predictor on a continuous response. Centre for Multilevel Modelling

More information

Measuring the User Experience

Measuring the User Experience Measuring the User Experience Collecting, Analyzing, and Presenting Usability Metrics Chapter 2 Background Tom Tullis and Bill Albert Morgan Kaufmann, 2008 ISBN 978-0123735584 Introduction Purpose Provide

More information

Methodological skills

Methodological skills Methodological skills rma linguistics, week 3 Tamás Biró ACLC University of Amsterdam t.s.biro@uva.nl Tamás Biró, UvA 1 Topics today Parameter of the population. Statistic of the sample. Re: descriptive

More information