Lab 5a Exploring Correlation
|
|
- Tyler Allison
- 5 years ago
- Views:
Transcription
1 Lab 5a Exploring Correlation The correlation coefficient measures how tightly the points on a scatterplot cluster around a line. In this lab we will examine scatterplots and correlation coefficients for many pairs of variables. We will look at data from the EPA evaluation of the fuel economy of the 2013 model year cars (see and from a Statistics class survey. AT THE COMPUTER In this lab, we begin by gaining some practice at judging the values of correlations by looking at the scatterplots. We will begin by looking at a data set that deals with cars and gas mileage. The data set Cars2013 lists characteristics of car models from the 2013 model year. With the recent increases in fuel cost many people are concerned with fuel mileage. Let s study the relationship of mileage with other variables. Correlations and scatterplots can help us understand relationships between variables for these cars. 1. We begin by examining engine displacement (liters) and the city fuel mileage. Engine displacement indicates the size of a vehicle s engine. In general, large or high performance vehicles have larger engines. Remember that in a positive correlation, as one variable increases the other also increases. In a negative correlation, as one variable increases the other decreases. Do you think that the engine displacement of the car and the fuel mileage (miles per gallon) would be positively related, negatively related, or near zero? 2. Next, think about the amount of luggage space (cubic feet) a car has. What type of relationship do you feel this variable would have with fuel mileage? 3. Next let s consider the relationship between city gas mileage and highway gas mileage. What type of relationship do you feel these variables would have? 4. Finally consider the relationship between the amount of passenger space of the car and the amount of luggage space. What type of relationship do you feel these variables would have? 1
2 Software Tip: Creating Scatterplots In Data Desk select response variable of interest (place the Y on this variable). To select the independent variable, hold the shift key while selecting the variable (an X will be placed on the variable). Then choose Scatterplot under the Plot menu. In CrunchIt click Graphics>Scatterplot. Choose the variables of interest and put them in the Y and X boxes. If you d like more help, watch the CrunchIt help video on Correlation. Now let s see what the actual data indicates for these variables by making scatterplots of each pair of variables. Open the Cars2013 data file and make scatterplots of the pairs of variables we previously discussed. 5. How did your predictions compare with the actual scatterplots? Did you predict any positive correlations to be negative or vise versa? Mention any differences here. 6. Examine the scatterplots you have created. a. Which of the correlations appears to be the strongest? Remember that a strong correlation is one that is tightly packed near a straight line. b. By looking at the scatterplots, what correlation would you expect for these variables? Make a guess rounded to one decimal place along with a direction (positive or negative). Write your guess in the appropriate space below. Variables My correlation guess Actual correlation displacement and mpg:city space:luggage and mpg:city mpg:city and mpg:highway 2
3 space:luggage and space:passenger 3
4 c. Now calculate the actual correlation using software, and record those correlations in the table provided. Which of your guesses was off by the most? Software Tip: Calculating Correlation To calculate correlations in Data Desk use the hyperview triangle in the upper-left corner of the scatterplot you created for that variable. Choose the Correlation option. In CrunchIt click Statistics> Correlation. Click to choose the variables of interest. It is good practice to first take a look at the scatter plot before calculating the correlation coefficient in order to see if it is an appropriate measure of the strength of the association. For example, you should look for evidence about whether the pattern of association between the two variables is linear and possible explanations for outliers. 7a. Does there seem to be a nonlinear relationship between any of the pairs of variables you examined? Which ones? 7b. Look at the scatter plot of city mileage versus highway mileage for the cars in the data set. Try color-coding the points using some of the other variables like Drive Type and whether the car is a gas-electric hybrid. Explain what you learn from each picture. To add a color code: click on the variable that codes the colors and then use Modify>Colors>Add>by Group (in DataDesk) or use the Group by option in the Crunchit Scatterplot dialog box. 4
5 How does changing the unit of measurement change the correlation between variables? We can explore this by examining the conversion of the engine displacement and the mileage of the car. For the last decade engine displacement has been given in liters, but previously most American cars listed their engine displacement in cubic inches. How do the correlations change when we convert cubic inches to liters? We can find out by calculating a new variable that multiplies engine size by 61 (there are approximately 61 cubic inches in a liter). Software Tip: Creating a New Variable To create a new variable click Manip>Transform>New Derived Variable. Give the variable a name of your choice and click OK. A window will appear in which you should type the formula for the new variable. In Data Desk be sure to put the variable name in single quotes. For example: displacement *61. In CrunchIt click Insert>Evaluate Formula. In the formula box, type the name of the variable and the calculation you want. In CrunchIt put the name of the variable in square brackets, for example: [Displacement]*61. The new variable will be inserted in the next column of the worksheet. 8. Create a scatterplot of your new variable and the mileage variable. Examine this scatterplot and the scatterplot of displacement and city mileage you made earlier. How does the pattern of this scatterplot compare with the previous scatterplot of these variables? 9. Calculate the correlation between these variables. How does this compare with the correlation you found between these variables previously? Explain. 5
6 Now let s switch to another data set that deals with data from a survey completed by students in your class. Open the data file called Class_Survey. We ll look at the variables height (the students height in inches), mate height (the height of the students ideal mate ), year (of birth), age (in years), HS GPA (high school grade point average on a four-point scale), and OSU GPA (grade point average at Ohio State). 10. Before looking at the data, make a guess at the size of the correlation for the pairs of variables listed below. Record your guess in the table below. Next make a plot of each pair of variables from the Class_survey1 data file. Look at each plot and try to guess the value of the correlation. Record your guess in the table. Finally, use the software to find the actual value of the correlation between each pair of variables and record that value. Variables My guess at the correlation My guess after looking at the plot Actual correlation height and mate height year and age HS GPA and OSU GPA 11. Which of the three correlations in the previous question were the most difficult for you to guess? How did the three correlations differ from your expectations with respect to direction and/or strength? 12. Many people are surprised at the direction of the correlation between the students height and the height of their ideal mate in this survey. Think of an explanation for this paradox and use the software to investigate your explanation. Show (sketch or cut-and-paste) the results below that you used to test your explanation. 6
Math 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 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 informationCorrelation & Regression Exercises Chapters 14-15
Correlation & Regression Exercises Chapters 14-15 1. Which of these are true and which are false? Explain why the false statements are wrong. a. If the slope of the line is 1, then the correlation must
More informationq3_2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
q3_2 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) The relationship between the number of games won by a minor
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 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 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 informationSection 6: Analysing Relationships Between Variables
6. 1 Analysing Relationships Between Variables Section 6: Analysing Relationships Between Variables Choosing a Technique The Crosstabs Procedure The Chi Square Test The Means Procedure The Correlations
More informationBivariate Correlations
Bivariate Correlations Brawijaya Professional Statistical Analysis BPSA MALANG Jl. Kertoasri 66 Malang (0341) 580342 081 753 3962 Bivariate Correlations The Bivariate Correlations procedure computes the
More informationMaking charts in Excel
Making charts in Excel Use Excel file MakingChartsInExcel_data We ll start with the worksheet called treatment This shows the number of admissions (not necessarily people) to Twin Cities treatment programs
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 informationUnit 8 Bivariate Data/ Scatterplots
Unit 8 Bivariate Data/ Scatterplots Oct 20 9:19 PM Scatterplots are used to determine if there is a relationship between two variables. /Correlation /Correlation /Correlation Line of best fit cuts the
More informationStatisticians deal with groups of numbers. They often find it helpful to use
Chapter 4 Finding Your Center In This Chapter Working within your means Meeting conditions The median is the message Getting into the mode Statisticians deal with groups of numbers. They often find it
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 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 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 informationCharts Worksheet using Excel Obesity Can a New Drug Help?
Worksheet using Excel 2000 Obesity Can a New Drug Help? Introduction Obesity is known to be a major health risk. The data here arise from a study which aimed to investigate whether or not a new drug, used
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. 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 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 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 informationThe Jumping Dog Quadratic Activity
Standards: The Jumping Dog Quadratic Activity A2.4.1 Identify the family of function best suited for modeling a given real-world situation. A2.4.3 Using the adapted general symbolic form, draw reasonable
More informationTo learn how to use the molar extinction coefficient in a real experiment, consider the following example.
Week 3 - Phosphatase Data Analysis with Microsoft Excel Week 3 Learning Goals: To understand the effect of enzyme and substrate concentration on reaction rate To understand the concepts of Vmax, Km and
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 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 informationSection 3 Correlation and Regression - Teachers Notes
The data are from the paper: Exploring Relationships in Body Dimensions Grete Heinz and Louis J. Peterson San José State University Roger W. Johnson and Carter J. Kerk South Dakota School of Mines and
More informationIAS 3.9 Bivariate Data
Year 13 Mathematics IAS 3.9 Bivariate Data Robert Lakeland & Carl Nugent Contents Achievement Standard.................................................. 2 Bivariate Data..........................................................
More informationDaniel Boduszek University of Huddersfield
Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Multiple Regression (MR) Types of MR Assumptions of MR SPSS procedure of MR Example based on prison data Interpretation of
More informationSPSS Correlation/Regression
SPSS Correlation/Regression Experimental Psychology Lab Session Week 6 10/02/13 (or 10/03/13) Due at the Start of Lab: Lab 3 Rationale for Today s Lab Session This tutorial is designed to ensure that you
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 informationDaniel Boduszek University of Huddersfield
Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Correlation SPSS procedure for Pearson r Interpretation of SPSS output Presenting results Partial Correlation Correlation
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 informationThe North Carolina Health Data Explorer
The North Carolina Health Data Explorer The Health Data Explorer provides access to health data for North Carolina counties in an interactive, user-friendly atlas of maps, tables, and charts. It allows
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 informationYour Task: Find a ZIP code in Seattle where the crime rate is worse than you would expect and better than you would expect.
Forensic Geography Lab: Regression Part 1 Payday Lending and Crime Seattle, Washington Background Regression analyses are in many ways the Gold Standard among analytic techniques for undergraduates (and
More informationQ: How do I get the protein concentration in mg/ml from the standard curve if the X-axis is in units of µg.
Photometry Frequently Asked Questions Q: How do I get the protein concentration in mg/ml from the standard curve if the X-axis is in units of µg. Protein standard curves are traditionally presented as
More informationMath 081 W2010 Exam 1 Ch 4.4 to 4.6 V 01 Preparation Dressler. Name 6) Multiply. 1) ) ) )
Math 081 W2010 Exam 1 Ch 4.4 to 4.6 V 01 Preparation Dressler Name Multiply. 1) 0.170 2.4 6) 0.0089 8.6 2) 87.7 3.4 7) 0.07 0.03 8) 0.56 0.8 3) 0.0070 16.91 9) 0.0909 3.03 4) 0.05 0.2 10) 1478 0.67 11)
More informationProblem #1 Neurological signs and symptoms of ciguatera poisoning as the start of treatment and 2.5 hours after treatment with mannitol.
Ho (null hypothesis) Ha (alternative hypothesis) Problem #1 Neurological signs and symptoms of ciguatera poisoning as the start of treatment and 2.5 hours after treatment with mannitol. Hypothesis: Ho:
More informationThe Effectiveness of Captopril
Lab 7 The Effectiveness of Captopril In the United States, pharmaceutical manufacturers go through a very rigorous process in order to get their drugs approved for sale. This process is designed to determine
More information1. To review research methods and the principles of experimental design that are typically used in an experiment.
Your Name: Section: 36-201 INTRODUCTION TO STATISTICAL REASONING Computer Lab Exercise Lab #7 (there was no Lab #6) Treatment for Depression: A Randomized Controlled Clinical Trial Objectives: 1. To review
More informationUsing SPSS for Correlation
Using SPSS for Correlation This tutorial will show you how to use SPSS version 12.0 to perform bivariate correlations. You will use SPSS to calculate Pearson's r. This tutorial assumes that you have: Downloaded
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 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 informationCommonwealth of Pennsylvania PA Test Method No. 423 Department of Transportation October Pages LABORATORY TESTING SECTION. Method of Test for
Commonwealth of Pennsylvania PA Test Method No. 423 Department of Transportation 10 Pages 1. SCOPE LABORATORY TESTING SECTION Method of Test for RETRO-DIRECTIVE REFLECTIVITY OF REFLECTIVE MATERIALS 1.1
More informationBiology 345: Biometry Fall 2005 SONOMA STATE UNIVERSITY Lab Exercise 8 One Way ANOVA and comparisons among means Introduction
Biology 345: Biometry Fall 2005 SONOMA STATE UNIVERSITY Lab Exercise 8 One Way ANOVA and comparisons among means Introduction In this exercise, we will conduct one-way analyses of variance using two different
More informationChapter Eight: Multivariate Analysis
Chapter Eight: Multivariate Analysis Up until now, we have covered univariate ( one variable ) analysis and bivariate ( two variables ) analysis. We can also measure the simultaneous effects of two or
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 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 informationM 140 Test 1 A Name (1 point) SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points Total 75
M 140 est 1 A Name (1 point) SHOW YOUR WORK FOR FULL CREDI! Problem Max. Points Your Points 1-10 10 11 10 12 3 13 4 14 18 15 8 16 7 17 14 otal 75 Multiple choice questions (1 point each) For questions
More informationDENTRIX ENTERPRISE 8.0.5
DENTRIX ENTERPRISE 8.0. GETTING STARTED WITH THE CURRENT CLINICAL NOTES www.dentrixenterprise.com -800-DSCHEIN Getting Started with the Current Clinical Notes Working with Clinical Notes Keeping accurate
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 informationChapter Eight: Multivariate Analysis
Chapter Eight: Multivariate Analysis Up until now, we have covered univariate ( one variable ) analysis and bivariate ( two variables ) analysis. We can also measure the simultaneous effects of two or
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 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 informationAnalysis of Variance (ANOVA) Program Transcript
Analysis of Variance (ANOVA) Program Transcript DR. JENNIFER ANN MORROW: Welcome to Analysis of Variance. My name is Dr. Jennifer Ann Morrow. In today's demonstration, I'll review with you the definition
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 informationSTT 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(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 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 informationLesson: A Ten Minute Course in Epidemiology
Lesson: A Ten Minute Course in Epidemiology This lesson investigates whether childhood circumcision reduces the risk of acquiring genital herpes in men. 1. To open the data we click on File>Example Data
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 informationActivity: Smart Guessing
Activity: Smart Guessing GENERATE EQUIVALENT FORMS OF FRACTIONS & DECIMALS USE MULTIPLICATION & DIVISION TO SOLVE PROBLEMS INVOLVING FRACTIONS ESTIMATE TO APPROXIMATE REASONABLE RESULTS WHERE EXACT ANSWERS
More informationBlueBayCT - Warfarin User Guide
BlueBayCT - Warfarin User Guide December 2012 Help Desk 0845 5211241 Contents Getting Started... 1 Before you start... 1 About this guide... 1 Conventions... 1 Notes... 1 Warfarin Management... 2 New INR/Warfarin
More informationLevel 3 AS Credits Internal Investigate Bivariate Measurement Data Written by Jake Wills MathsNZ
Level 3 AS91581 4 Credits Internal Investigate Bivariate Measurement Data Written by Jake Wills MathsNZ jwills@mathsnz.com NCEA Level 3-3.9 Bivariate Data Achievement Achievement with Merit Achievement
More informationPreliminary Report on Simple Statistical Tests (t-tests and bivariate correlations)
Preliminary Report on Simple Statistical Tests (t-tests and bivariate correlations) After receiving my comments on the preliminary reports of your datasets, the next step for the groups is to complete
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 informationHomework Linear Regression Problems should be worked out in your notebook
Homework Linear Regression Problems should be worked out in your notebook 1. Following are the mean heights of Kalama children: Age (months) 18 19 20 21 22 23 24 25 26 27 28 29 Height (cm) 76.1 77.0 78.1
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 informationLab 5: Testing Hypotheses about Patterns of Inheritance
Lab 5: Testing Hypotheses about Patterns of Inheritance How do we talk about genetic information? Each cell in living organisms contains DNA. DNA is made of nucleotide subunits arranged in very long strands.
More informationSimple Linear Regression One Categorical Independent Variable with Several Categories
Simple Linear Regression One Categorical Independent Variable with Several Categories Does ethnicity influence total GCSE score? We ve learned that variables with just two categories are called binary
More informationBiopac Student Lab Lesson 6 ELECTROCARDIOGRAPHY (ECG) II Analysis Procedure. Rev
42 Aero Camino, Goleta, CA 93117 www.biopac.com Biopac Student Lab Lesson 6 ELECTROCARDIOGRAPHY (ECG) II Analysis Procedure Rev. 12292017 Richard Pflanzer, Ph.D. Associate Professor Emeritus Indiana University
More informationDigestive System: Where does food go? Student Version
Digestive System: Where does food go? Student Version In this lab you will learn about your digestive system. We will use everyday objects like yarn and a ziplock bag to understand how long our digestive
More informationOne-Way Independent ANOVA
One-Way Independent ANOVA Analysis of Variance (ANOVA) is a common and robust statistical test that you can use to compare the mean scores collected from different conditions or groups in an experiment.
More informationIntro to SPSS. Using SPSS through WebFAS
Intro to SPSS Using SPSS through WebFAS http://www.yorku.ca/computing/students/labs/webfas/ Try it early (make sure it works from your computer) If you need help contact UIT Client Services Voice: 416-736-5800
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 informationArizona Western College Math 81 Course Review. Name Class Time
Arizona Western College Math 81 Course Review Name Class Time Questions from Chapter 1 Simplify. 1) -1.2 + 0.2 + (-0.9) + 0.1 6) -1.8 0.06 7) (-4) 3 2) -14 - (-11) 8) (2.8) 3 3) - 4 7 (- 2) 4) -4(-4)(5)(-4)
More informationTo open a CMA file > Download and Save file Start CMA Open file from within CMA
Example name Effect size Analysis type Level Tamiflu Symptom relief Mean difference (Hours to relief) Basic Basic Reference Cochrane Figure 4 Synopsis We have a series of studies that evaluated the effect
More informationLesson 2 EMG 2 Electromyography: Mechanical Work
Physiology Lessons for use with the Biopac Science Lab MP40 Lesson 2 EMG 2 Electromyography: Mechanical Work PC running Windows XP or Mac OS X 10.3-10.4 Lesson Revision 5.23.2006 BIOPAC Systems, Inc. 42
More informationName AP Statistics UNIT 1 Summer Work Section II: Notes Analyzing Categorical Data
Name AP Statistics UNIT 1 Summer Work Date Section II: Notes 1.1 - Analyzing Categorical Data Essential Understanding: How can I represent the data when it is treated as a categorical variable? I. Distribution
More information1 Version SP.A Investigate patterns of association in bivariate data
Claim 1: Concepts and Procedures Students can explain and apply mathematical concepts and carry out mathematical procedures with precision and fluency. Content Domain: Statistics and Probability Target
More informationLAB 1 The Scientific Method
From the LAMC Bio 3 Lab Manual 6 th edition, by Mike Reynolds & Stephen Brown Modified by Diane Livio LAB 1 The Scientific Method Objectives 1. Apply the basic principles of the scientific method. 2. Generate
More informationEXPERIMENT 4 TITRATION OF AN UNKNOWN ACID
EXPERIMENT 4 TITRATION OF AN UNKNOWN ACID The reaction of an acid and a base to form a salt and water is known as neutralization. In this experiment you will titrate an known amount of KHP with an unknown
More information05. Conversion Factors tutorial.doc. Introduction
Introduction In this tutorial you will learn to use conversion factors to solve a variety of problems that arise in chemistry. Roughly 90 of all the mathematics done in beginning chemistry involves using
More informationElectromyography II Laboratory (Hand Dynamometer Transducer)
(Hand Dynamometer Transducer) Introduction As described in the Electromyography I laboratory session, electromyography (EMG) is an electrical signal that can be recorded with electrodes placed on the surface
More informationCOLLEGE ALGEBRA PREREQUISITE REVIEW NAME: CLASS: DUAL ENROLLMENT MAC 1105 DUE DATE: 08/23/10
COLLEGE ALGEBRA PREREQUISITE REVIEW NAME: CLASS: DUAL ENROLLMENT MAC 1105 DUE DATE: 08/2/10 Evaluate the algebraic expression for the given value or values of the variable(s). 1) x2-2(x - y); x = 6 and
More informationReveal Relationships in Categorical Data
SPSS Categories 15.0 Specifications Reveal Relationships in Categorical Data Unleash the full potential of your data through perceptual mapping, optimal scaling, preference scaling, and dimension reduction
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 informationHomework 2 Math 11, UCSD, Winter 2018 Due on Tuesday, 23rd January
PID: Last Name, First Name: Section: Approximate time spent to complete this assignment: hour(s) Readings: Chapters 7, 8 and 9. Homework 2 Math 11, UCSD, Winter 2018 Due on Tuesday, 23rd January Exercise
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 informationAppendix: Instructions for Treatment Index B (Human Opponents, With Recommendations)
Appendix: Instructions for Treatment Index B (Human Opponents, With Recommendations) This is an experiment in the economics of strategic decision making. Various agencies have provided funds for this research.
More informationPrentice Hall Connected Mathematics 2, Grade Correlated to: Michigan Grade Level Content Expectations (Grade 6)
NUMBER AND OPERATIONS Multiply and divide fractions N.MR.06.01 Understand division of fractions as the inverse of multiplication, e.g., if 4/5 2/3 =, then 2/3 = 4/5, so = 4/5 3/2 = 12/10. N.FL.06.02 Given
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 informationBefore 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 informationMath MidTerm Exam & Math Final Examination STUDY GUIDE Spring 2011
Math 006 - MidTerm Eam & Math 021 Final Eamination STUDY GUIDE Spring 2011 Name Score TOTAL Final Grade The use of a calculator ma be permitted on this eam. Duration of the Actual test is 0 minutes or
More informationElementary Algebra Sample Review Questions
Elementary Algebra Sample Review Questions 1) Simplify: (x 8 ) 7 1) ) Multiply and simplify any radicals in your answer. Assume that all variables represent positive real numbers. ( 11 + 5)( 17-5) ) 3)
More informationWarfarin Help Documentation
Warfarin Help Documentation Table Of Contents Warfarin Management... 1 iii Warfarin Management Warfarin Management The Warfarin Management module is a powerful tool for monitoring INR results and advising
More informationLiving with Newton's Laws
Task #1 - Newton s 1 st Law - This is a pain in the neck Let's suppose you are in your car, waiting at a stop light. Like any good driver, you have your seat belt buckled. (It's the law.) Suddenly, a car
More informationChoosing a Significance Test. Student Resource Sheet
Choosing a Significance Test Student Resource Sheet Choosing Your Test Choosing an appropriate type of significance test is a very important consideration in analyzing data. If an inappropriate test is
More information