How Faithful is the Old Faithful? The Practice of Statistics, 5 th Edition 1
|
|
- Berniece Peters
- 5 years ago
- Views:
Transcription
1 How Faithful is the Old Faithful? The Practice of Statistics, 5 th Edition 1
2 Who Has Been Eating My Cookies????????? Someone has been steeling the cookie I bought for your class A teacher from the highschool department? SCI stats team: help me identify the prime suspect in the case of the missing cookie The Practice of Statistics, 5 th Edition 2
3 The Practice of Statistics, 5 th Edition 3
4 Activity: CSI Stats The Case of the Missing Cookies Collect Height and Hand Span of each member of your group in cm We are going to use the Hand Print span information to predict the prime s suspect height Record data on the table (hand span (cm) vs height cm) Make a graph with the class data on to a group white board. Example below: Describe what you see: What does the graph tell you about the relationship? Summarize your observations in a sentence or two.???which highschool teacher is believed to be the prime suspect? The Practice of Statistics, 5 th Edition 4
5 CHAPTER 3 Describing Relationships 3.1 Scatterplots and Correlation The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers
6 Scatterplots and Correlation Learning Objectives Define Explanatory and Response variables in situations where one variable helps to explain or influences the other Make a scatterplot to display the relationship between two quantitative variables. Describe the direction, form, and strength of a relationship displayed in a scatterplot and identify outliers in a scatterplot. Interpret the correlation. Understand the basic properties of correlation, including the influence of outliers on the correlation Use technology to calculate correlation. Explain why association does not imply causation. The Practice of Statistics, 5 th Edition 6
7 Explanatory and Response Variables Most statistical studies examine data on more than one variable. In many of these settings, the two variables play different roles. A response variable measures an outcome of a study. An explanatory variable may help explain or influence changes in a response variable. In the case of The Missing Cookie? The Practice of Statistics, 5 th Edition 7
8 Example1. : Weight and Height Tim wants to know if there is a relationship between height and weight. Kelly wants to know if she can predict a student s weight from his or her height. Information about height is easier to obtain than information about weight! Problem: For each student, identify the explanatory and response variables, if possible. Ex 2: Linking SAT Math and Critical Reading Scores The Practice of Statistics, 5 th Edition 8
9 The Practice of Statistics, 5 th Edition 9
10 Scatterplots and How to Make them Scatterplot: Relationship between quantitative variables on the same individual Explanatory variable on the x-axis, and response on the y-axis Each individual data appears as a dot on the graph How to Make a Scatterplot 1. Decide which variable should go on each axis. Remember, the EXplanatory variable goes on the X-axis! 2. Label and scale your axes. 3. Plot individual data values. The Practice of Statistics, 5 th Edition 10
11 Track and Field Day Each member of a small statistics class ran a 40-yard sprint and then did a long jump (with a running start). The table below shows the sprint time (in seconds) and the long-jump distance (in inches) Sprint time (s) Long-jump distance (in) Problem: Make a scatterplot of the relationship between the sprint time and long-jump distance. Describe what you see. The Practice of Statistics, 5 th Edition 11
12 Describing Scatterplots To describe a scatterplot, follow the basic strategy of data analysis from Chapters 1 and 2. Look for patterns and important departures from those patterns. How to Examine a Scatterplot As in any graph of data, look for the overall pattern and for striking departures from that pattern. You can describe the overall pattern of a scatterplot by the direction, form, and strength of the relationship. An important kind of departure is an outlier, an individual value that falls outside the overall pattern of the relationship. DOFS!!!! The Practice of Statistics, 5 th Edition 12
13 Describing Scatterplots Two variables have a : positive association when above-average values of one tend to accompany above-average values of the other and when belowaverage values also tend to occur together. negative association when above-average values of one tend to accompany below-average values of the other. Strength Describe the scatterplot. Direction Form There is a moderately strong, negative, curved relationship between the percent of students in a state who take the SAT and the mean SAT math score. Further, there are two distinct clusters of states and two possible outliers that fall outside the overall pattern. The Practice of Statistics, 5 th Edition 13
14 Example: Describing a scatterplot Direction: In general, it appears that teams that score more points per game have more wins and teams that score fewer points per game have fewer wins. We say that there is a positive association between points per game and wins. Form: There seems to be a linear pattern in the graph (that is, the overall pattern follows a straight line). Strength: Because the points do not vary much from the linear pattern, the relationship is fairly strong. There do not appear to be any values that depart from the linear pattern, so there are no outliers. The Practice of Statistics, 5 th Edition 14
15 1. Describe the Track and Field Day Scatterplot 2. The Practice of Statistics, 5 th Edition 15
16 In Class-Work and Homework Hand back the Quiz Time Permitting: Religions and Babies Scatterplot that relates Income and Babies per Woman Calculator Activity Scatterplots on the calculator Homework: page 159 #1-13 ALL Quiz Next Class (please come see me if you have any questions!!!) The Practice of Statistics, 5 th Edition 16
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 informationChapter 4: Scatterplots and Correlation
Chapter 4: Scatterplots and Correlation http://www.yorku.ca/nuri/econ2500/bps6e/ch4-links.pdf Correlation text exr 4.10 pg 108 Ch4-image Ch4 exercises: 4.1, 4.29, 4.39 Most interesting statistical data
More informationThis means that the explanatory variable accounts for or predicts changes in the response variable.
Lecture Notes & Examples 3.1 Section 3.1 Scatterplots and Correlation (pp. 143-163) Most statistical studies examine data on more than one variable. We will continue to use tools we have already learned
More informationMath 075 Activities and Worksheets Book 2:
Math 075 Activities and Worksheets Book 2: Linear Regression Name: 1 Scatterplots Intro to Correlation Represent two numerical variables on a scatterplot and informally describe how the data points are
More informationScatter Plots and Association
? LESSON 1.1 ESSENTIAL QUESTION Scatter Plots and Association How can you construct and interpret scatter plots? Measurement and data 8.11.A Construct a scatterplot and describe the observed data to address
More informationChapter 3, Section 1 - Describing Relationships (Scatterplots and Correlation)
Chapter 3, Section 1 - Describing Relationships (Scatterplots and Correlation) Investigating relationships between variables is central to what we do in statistics. Why is it important to investigate and
More informationReminders/Comments. Thanks for the quick feedback I ll try to put HW up on Saturday and I ll you
Reminders/Comments Thanks for the quick feedback I ll try to put HW up on Saturday and I ll email you Final project will be assigned in the last week of class You ll have that week to do it Participation
More informationCHAPTER 4 Designing Studies
CHAPTER 4 Designing Studies 4.2 Experiments The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Experiments Learning Objectives After this section, you
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 informationLecture 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 informationEating and Sleeping Habits of Different Countries
9.2 Analyzing Scatter Plots Now that we know how to draw scatter plots, we need to know how to interpret them. A scatter plot graph can give us lots of important information about how data sets are related
More information(a) 50% of the shows have a rating greater than: impossible to tell
KEY 1. Here is a histogram of the Distribution of grades on a quiz. How many students took the quiz? 15 What percentage of students scored below a 60 on the quiz? (Assume left-hand endpoints are included
More informationLab 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 information8.SP.1 Hand span and height
8.SP.1 Hand span and height Task Do taller people tend to have bigger hands? To investigate this question, each student in your class should measure his or her hand span (in cm) and height (in inches).
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 informationSTAT 201 Chapter 3. Association and Regression
STAT 201 Chapter 3 Association and Regression 1 Association of Variables Two Categorical Variables Response Variable (dependent variable): the outcome variable whose variation is being studied Explanatory
More informationFurther Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables
Chapter 3: Investigating associations between two variables Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables Extract from Study Design Key knowledge
More informationSection 3.2 Least-Squares Regression
Section 3.2 Least-Squares Regression Linear relationships between two quantitative variables are pretty common and easy to understand. Correlation measures the direction and strength of these relationships.
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 information(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 informationCHAPTER 8 Estimating with Confidence
CHAPTER 8 Estimating with Confidence 8.1b Confidence Intervals: The Basics The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Confidence Intervals: The
More information1.4 - Linear Regression and MS Excel
1.4 - Linear Regression and MS Excel Regression is an analytic technique for determining the relationship between a dependent variable and an independent variable. When the two variables have a linear
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 information12.1 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 informationCHAPTER 8 Estimating with Confidence
CHAPTER 8 Estimating with Confidence 8.1 Confidence Intervals: The Basics The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Confidence Intervals: The
More informationWelcome to OSA Training Statistics Part II
Welcome to OSA Training Statistics Part II Course Summary Using data about a population to draw graphs Frequency distribution and variability within populations Bell Curves: What are they and where do
More informationIdentify 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 informationChapter 4. Navigating. Analysis. Data. through. Exploring Bivariate Data. Navigations Series. Grades 6 8. Important Mathematical Ideas.
Navigations Series Navigating through Analysis Data Grades 6 8 Chapter 4 Exploring Bivariate Data Important Mathematical Ideas Copyright 2009 by the National Council of Teachers of Mathematics, Inc. www.nctm.org.
More informationCHAPTER ONE CORRELATION
CHAPTER ONE CORRELATION 1.0 Introduction The first chapter focuses on the nature of statistical data of correlation. The aim of the series of exercises is to ensure the students are able to use SPSS to
More information3. For a $5 lunch with a 55 cent ($0.55) tip, what is the value of the residual?
STATISTICS 216, SPRING 2006 Name: EXAM 1; February 21, 2006; 100 points. Instructions: Closed book. Closed notes. Calculator allowed. Double-sided exam. NO CELL PHONES. Multiple Choice (3pts each). Circle
More informationHomework #3. SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Homework #3 Name Due Due on on February Tuesday, Due on February 17th, Sept Friday 28th 17th, Friday SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Fill
More informationAP STATISTICS 2010 SCORING GUIDELINES
AP STATISTICS 2010 SCORING GUIDELINES Question 1 Intent of Question The primary goals of this question were to assess students ability to (1) apply terminology related to designing experiments; (2) construct
More informationSTATISTICS 201. Survey: Provide this Info. How familiar are you with these? Survey, continued IMPORTANT NOTE. Regression and ANOVA 9/29/2013
STATISTICS 201 Survey: Provide this Info Outline for today: Go over syllabus Provide requested information on survey (handed out in class) Brief introduction and hands-on activity Name Major/Program Year
More informationc. 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 informationRegression. Lelys Bravo de Guenni. April 24th, 2015
Regression Lelys Bravo de Guenni April 24th, 2015 Outline Regression Simple Linear Regression Prediction of an individual value Estimate Percentile Ranks Regression Simple Linear Regression The idea behind
More informationINTERPRET SCATTERPLOTS
Chapter2 MODELING A BUSINESS 2.1: Interpret Scatterplots 2.2: Linear Regression 2.3: Supply and Demand 2.4: Fixed and Variable Expenses 2.5: Graphs of Expense and Revenue Functions 2.6: Breakeven Analysis
More informationMATH 2560 C F03 Elementary Statistics I LECTURE 6: Scatterplots (Continuation).
MATH 2560 C F03 Elementary Statistics I LECTURE 6: Scatterplots (Continuation). 1 Outline. adding categorical variables to scatterplots; more examples of scatterplots; categorical explanatory variables;
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 informationLOTS 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 informationSTATS Relationships between variables: Correlation
STATS 1060 Relationships between variables: Correlation READINGS: Chapter 7 of your text book (DeVeaux, Vellman and Bock); on-line notes for correlation; on-line practice problems for correlation NOTICE:
More informationChapter 4. More On Bivariate Data. More on Bivariate Data: 4.1: Transforming Relationships 4.2: Cautions about Correlation
Chapter 4 More On Bivariate Data Chapter 3 discussed methods for describing and summarizing bivariate data. However, the focus was on linear relationships. In this chapter, we are introduced to methods
More informationLesson 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 informationQuantitative Literacy: Thinking Between the Lines
Quantitative Literacy: Thinking Between the Lines Crauder, Noell, Evans, Johnson Chapter 6: Statistics 2013 W. H. Freeman and Company 1 Chapter 6: Statistics Lesson Plan Data summary and presentation:
More informationHW 3.2: page 193 #35-51 odd, 55, odd, 69, 71-78
35. What s My Line? You use the same bar of soap to shower each morning. The bar weighs 80 grams when it is new. Its weight goes down by 6 grams per day on average. What is the equation of the regression
More informationPSY 205 Module 3 Supplement. Comparing Correlation, Ex post facto, and Experimental Approaches to Research
PSY 205 Module 3 Supplement Comparing Correlation, Ex post facto, and Experimental Approaches to Research As you have seen in this module, there are many ways to do research in psychology. Now let s carefully
More informationStatistics and Probability
Statistics and a single count or measurement variable. S.ID.1: Represent data with plots on the real number line (dot plots, histograms, and box plots). S.ID.2: Use statistics appropriate to the shape
More informationTo guess is cheap. To guess wrongly is expensive. Ancient Chinese Proverb
Bellwork 9-21-15 To guess is cheap. To guess wrongly is expensive. Ancient Chinese Proverb 1. How do scatterplots display trends? 2. Define a function. 3. Provide examples of scatterplots that are functions
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 informationChapter 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 informationNormal Distribution Foldable
Normal Distribution Foldable Thank you for buying my game! Foresta Math Please stop back to my store and let me know how the game went. http://www.teacherspayteachers.com/store/foresta- Math Facebook:
More informationLecture 6B: more Chapter 5, Section 3 Relationships between Two Quantitative Variables; Regression
Lecture 6B: 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 informationExemplar for Internal Assessment Resource Mathematics Level 3. Resource title: Sport Science. Investigate bivariate measurement data
Exemplar for internal assessment resource Mathematics 3.9A for Achievement Standard 91581 Exemplar for Internal Assessment Resource Mathematics Level 3 Resource title: Sport Science This exemplar supports
More informationSCATTER 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 informationCP Statistics Sem 1 Final Exam Review
Name: _ Period: ID: A CP Statistics Sem 1 Final Exam Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. A particularly common question in the study
More informationSTT315 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 information3.2 Least- Squares Regression
3.2 Least- Squares Regression Linear (straight- line) relationships between two quantitative variables are pretty common and easy to understand. Correlation measures the direction and strength of these
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 informationAP 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 informationPart 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 informationA response variable is a variable that. An explanatory variable is a variable that.
Name:!!!! Date: Scatterplots The most common way to display the relation between two quantitative variable is a scatterplot. Statistical studies often try to show through scatterplots, that changing one
More informationChapter 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 informationRelationships. Between Measurements Variables. Chapter 10. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc.
Relationships Chapter 10 Between Measurements Variables Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc. Thought topics Price of diamonds against weight Male vs female age for dating Animals
More informationRegression Equation. November 29, S10.3_3 Regression. Key Concept. Chapter 10 Correlation and Regression. Definitions
MAT 155 Statistical Analysis Dr. Claude Moore Cape Fear Community College Chapter 10 Correlation and Regression 10 1 Review and Preview 10 2 Correlation 10 3 Regression 10 4 Variation and Prediction Intervals
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 informationSteps to writing a lab report on: factors affecting enzyme activity
Steps to writing a lab report on: factors affecting enzyme activity This guide is designed to help you write a simple, straightforward lab report. Each section of the report has a number of steps. By completing
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 informationPopulation. 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 informationThe Nature of Probability and Statistics
Chapter 1 The Nature of Probability and Statistics Chapter 1 Overview Introduction 1-1 Descriptive and Inferential Statistics 1-2 Variables and Types of Data 1-3 Data Collection & Sampling Techniques 1-4
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 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 informationResults & 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 information7. Bivariate Graphing
1 7. Bivariate Graphing Video Link: https://www.youtube.com/watch?v=shzvkwwyguk&index=7&list=pl2fqhgedk7yyl1w9tgio8w pyftdumgc_j Section 7.1: Converting a Quantitative Explanatory Variable to Categorical
More informationProblem Set 3 ECN Econometrics Professor Oscar Jorda. Name. ESSAY. Write your answer in the space provided.
Problem Set 3 ECN 140 - Econometrics Professor Oscar Jorda Name ESSAY. Write your answer in the space provided. 1) Sir Francis Galton, a cousin of James Darwin, examined the relationship between the height
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
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 informationLesson 1: Distributions and Their Shapes
Lesson 1 Lesson 1: Distributions and Their Shapes Classwork Statistics is all about data Without data to talk about or to analyze or to question, statistics would not exist There is a story to be uncovered
More informationUndertaking 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 information1.1 Healthy, active lifestyles
1.1 Healthy, active lifestyles 1.1.4b Physical activity as part of your healthy, active lifestyle: assessing fi tness and developing an exercise programme Contents Worksheets Worksheet 1: Interval training,
More informationHow 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 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 informationMaking Sense of Measures of Center
Making Sense of Measures of Center Statistics are numbers that are part of your everyday world. They are used in reporting on baseball, basketball, football, soccer, the Olympics, and other sports. Statistics
More informationLecture 12 Cautions in Analyzing Associations
Lecture 12 Cautions in Analyzing Associations MA 217 - Stephen Sawin Fairfield University August 8, 2017 Cautions in Linear Regression Three things to be careful when doing linear regression we have already
More informationThe graph should contain 5 major parts: the title, the independent variable, the dependent variable, the scales for each variable, and a legend.
BLIZZARD BAG #2 Please complete the activity below. You will need to print out this activity sheet (pages 2-5 only) OR Write out the answers on a separate piece of paper and graph on a piece of graphing
More informationSection 1.2 Displaying Quantitative Data with Graphs. Dotplots
Section 1.2 Displaying Quantitative Data with Graphs Dotplots One of the simplest graphs to construct and interpret is a dotplot. Each data value is shown as a dot above its location on a number line.
More informationabout Eat Stop Eat is that there is the equivalent of two days a week where you don t have to worry about what you eat.
Brad Pilon 1 2 3 ! For many people, the best thing about Eat Stop Eat is that there is the equivalent of two days a week where you don t have to worry about what you eat.! However, this still means there
More informationStill 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 information3 CONCEPTUAL FOUNDATIONS OF STATISTICS
3 CONCEPTUAL FOUNDATIONS OF STATISTICS In this chapter, we examine the conceptual foundations of statistics. The goal is to give you an appreciation and conceptual understanding of some basic statistical
More informationClever Hans the horse could do simple math and spell out the answers to simple questions. He wasn t always correct, but he was most of the time.
Clever Hans the horse could do simple math and spell out the answers to simple questions. He wasn t always correct, but he was most of the time. While a team of scientists, veterinarians, zoologists and
More informationMEASURES OF ASSOCIATION AND REGRESSION
DEPARTMENT OF POLITICAL SCIENCE AND INTERNATIONAL RELATIONS Posc/Uapp 816 MEASURES OF ASSOCIATION AND REGRESSION I. AGENDA: A. Measures of association B. Two variable regression C. Reading: 1. Start Agresti
More informationBrad Pilon & John Barban
Brad Pilon & John Barban 1 2 3 To figure out how many calorie you need to eat to lose weight, you first need to understand what makes up your Metabolic rate. Your metabolic rate determines how many calories
More informationIntroduction to regression
Introduction to regression Regression describes how one variable (response) depends on another variable (explanatory variable). Response variable: variable of interest, measures the outcome of a study
More informationMath 124: Module 2, Part II
, Part II David Meredith Department of Mathematics San Francisco State University September 15, 2009 What we will do today 1 Explanatory and Response Variables When you study the relationship between two
More informationChapter 11 Nonexperimental Quantitative Research Steps in Nonexperimental Research
Chapter 11 Nonexperimental Quantitative Research (Reminder: Don t forget to utilize the concept maps and study questions as you study this and the other chapters.) Nonexperimental research is needed because
More informationLecture 9A Section 2.7. Wed, Sep 10, 2008
Lecture 9A Section 2.7 Hampden-Sydney College Wed, Sep 10, 2008 Outline 1 2 3 4 5 6 7 8 Exercise 2.23, p. 116 A class consists of 100 students. Suppose that we are interested in the heights of the people
More informationSTOR 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 informationTeam: Seat #: Name: Statistics Team Quiz 1 Explain each answer in one or more complete sentences.
Team: Seat #: Name: Statistics Team Quiz 1 Explain each answer in one or more complete sentences. 1. What level of measurement is age? ratio 2. Fill in the blanks with the appropriate symbols: = 28% of
More informationUnit 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 informationPre-Test Unit 9: Descriptive Statistics
Pre-Test Unit 9: Descriptive Statistics You may use a calculator. The following table shows how many text messages different students sent this week. Answer the following questions using the table. 20
More informationUF#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 informationEating Behaviors. Maintaining a Healthy Weight
CHAPTER 11 Managing Weight and Eating Behaviors LESSON 1 Maintaining a Healthy Weight Before You Read Write down some steps that you can take to manage your weight in a healthful way. BIG Idea Maintaining
More informationMultiple Choice Questions
ACTM State Statistics Work the multiple choice questions first, selecting the single best response from those provided and entering it on your scantron form. You may write on this test and keep the portion
More information