Using Crossword Puzzles In Applied Statistics Courses John D. McKenzie, Jr. Babson College Babson Park, MA 02457-0310

Slides:



Advertisements
Similar presentations
11-1 Empirical Models Many problems in engineering and science involve exploring the relationships between two or more variables. Regression analysis.
Advertisements

Applied Econometrics Second edition
13- 1 Chapter Thirteen McGraw-Hill/Irwin © 2005 The McGraw-Hill Companies, Inc., All Rights Reserved.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
Linear Regression t-Tests Cardiovascular fitness among skiers.
Hypothesis Testing IV Chi Square.
1 Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. Summarizing Bivariate Data Introduction to Linear Regression.
Copyright ©2006 Brooks/Cole, a division of Thomson Learning, Inc. More About Categorical Variables Chapter 15.
Final Review Session.
Chi-square Test of Independence
Simple Linear Regression Analysis
REGRESSION AND CORRELATION
Part 18: Regression Modeling 18-1/44 Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics.
Descriptive measures of the strength of a linear association r-squared and the (Pearson) correlation coefficient r.
8/15/2015Slide 1 The only legitimate mathematical operation that we can use with a variable that we treat as categorical is to count the number of cases.
Part 3: Regression and Correlation 3-1/41 Regression Models Professor William Greene Stern School of Business IOMS Department Department of Economics.
Statistics for the Social Sciences Psychology 340 Fall 2013 Thursday, November 21 Review for Exam #4.
The Chi-Square Distribution 1. The student will be able to  Perform a Goodness of Fit hypothesis test  Perform a Test of Independence hypothesis test.
Chapter 13: Inference in Regression
Single-Sample T-Test Quantitative Methods in HPELS 440:210.
Business Research Methods William G. Zikmund
MARE 250 Dr. Jason Turner Hypothesis Testing III.
CHAPTER 14 MULTIPLE REGRESSION
Name: Angelica F. White WEMBA10. Teach students how to make sound decisions and recommendations that are based on reliable quantitative information During.
Introduction to Linear Regression
Chapter 11 Linear Regression Straight Lines, Least-Squares and More Chapter 11A Can you pick out the straight lines and find the least-square?
Go to Table of Content Single Variable Regression Farrokh Alemi, Ph.D. Kashif Haqqi M.D.
An alternative approach to testing for a linear association The Analysis of Variance (ANOVA) Table.
Inference for Regression Simple Linear Regression IPS Chapter 10.1 © 2009 W.H. Freeman and Company.
Copyright ©2011 Nelson Education Limited Linear Regression and Correlation CHAPTER 12.
Section 9-1: Inference for Slope and Correlation Section 9-3: Confidence and Prediction Intervals Visit the Maths Study Centre.
Sequential sums of squares … or … extra sums of squares.
Reasoning in Psychology Using Statistics
Learning Objectives Copyright © 2002 South-Western/Thomson Learning Statistical Testing of Differences CHAPTER fifteen.
© Copyright McGraw-Hill Correlation and Regression CHAPTER 10.
Multiple regression. Example: Brain and body size predictive of intelligence? Sample of n = 38 college students Response (Y): intelligence based on the.
Chapter 13 Inference for Counts: Chi-Square Tests © 2011 Pearson Education, Inc. 1 Business Statistics: A First Course.
Agresti/Franklin Statistics, 1 of 88 Chapter 11 Analyzing Association Between Quantitative Variables: Regression Analysis Learn…. To use regression analysis.
Chapter 22: Building Multiple Regression Models Generalization of univariate linear regression models. One unit of data with a value of dependent variable.
1 1 Slide © 2003 South-Western/Thomson Learning™ Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
Multiple Regression I 1 Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 4 Multiple Regression Analysis (Part 1) Terry Dielman.
Copyright © Cengage Learning. All rights reserved. Chi-Square and F Distributions 10.
12/23/2015Slide 1 The chi-square test of independence is one of the most frequently used hypothesis tests in the social sciences because it can be used.
Chapter 15 The Chi-Square Statistic: Tests for Goodness of Fit and Independence PowerPoint Lecture Slides Essentials of Statistics for the Behavioral.
Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights reserved.
Chapter 7 Calculation of Pearson Coefficient of Correlation, r and testing its significance.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Simple Linear Regression Analysis Chapter 13.
Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights reserved.
Chapter 14 – 1 Chi-Square Chi-Square as a Statistical Test Statistical Independence Hypothesis Testing with Chi-Square The Assumptions Stating the Research.
Chapter 9 Minitab Recipe Cards. Contingency tests Enter the data from Example 9.1 in C1, C2 and C3.
Class Seven Turn In: Chapter 18: 32, 34, 36 Chapter 19: 26, 34, 44 Quiz 3 For Class Eight: Chapter 20: 18, 20, 24 Chapter 22: 34, 36 Read Chapters 23 &
Analysis of variance approach to regression analysis … an (alternative) approach to testing for a linear association.
Chapter 15 Inference for Regression. How is this similar to what we have done in the past few chapters?  We have been using statistics to estimate parameters.
Chapter 20 Linear and Multiple Regression
CHAPTER 12 More About Regression
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE
Least Square Regression
Chapter 13 Created by Bethany Stubbe and Stephan Kogitz.
Least Square Regression
Analyzing and Interpreting Quantitative Data
Lecture 12 More Examples for SLR More Examples for MLR 9/19/2018
Inference for Regression Lines
Quantitative Methods in HPELS HPELS 6210
Multiple Regression Chapter 14.
Simple Linear Regression and Correlation
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Chapter Fourteen McGraw-Hill/Irwin
Essentials of Statistics for Business and Economics (8e)
Chapter Thirteen McGraw-Hill/Irwin
Presentation transcript:

Using Crossword Puzzles In Applied Statistics Courses John D. McKenzie, Jr. Babson College Babson Park, MA

Abbreviated Abstract This webinar explains how crossword puzzles can be used as in-class exercises, quizzes, and examination questions in applied statistics courses to assist the students in learning basic statistical terminology. It presents innovative numerical crossword puzzles that can be to ask questions about statistical software output. It explains how the use of such puzzles was impractical in the past due to time it took to construct them but that this is no longer the case with the availability of a number of Internet sites. Keywords active learning exercises, statistical terminology, statistics education, teaching tool

From Newspapers (Wynne, 1913) to Tertiary Classrooms of Psychology (Crossman and Crossman (1983) and Davis, Shepherd, and Zwiefelhofer (2009)), Sociology (Childers (1996)), and Microbiology (Miller (2008)) for In-Class Exercises, Quizzes, and Examinations

A Creative and Fun Way to Introduce Statistical Terminology

Quiz Complete this criss-cross puzzle with appropriate words, including words with hyphens. Across 4. one scale for numerical variables 6. numerical measure that describes characteristic of population 7. alternative name for categorical variable 8. one scale for categorical variables 9. alternative name for numerical variable Down 1. display to examine the shape and spread of sample data that provides digits from the actual data values 2. proportion of population 3. principle that exists when there are a “vital few” and a “trivial many” 5. chart to compare measure of data categories

Peck’s Progression 1.Formulas 2.Term Identification from Output 3.Definitional Identification of Term from Output

Final Exam Consider the Minitab output on the next page. Complete this criss-cross puzzle with appropriate numbers and decimal points. Across 3. Percentage of variation of the response variable that is explained by the predictor variable in the regression model 5. Standard error of the estimate 6. Estimated mean value of the response variable when the predictor variable is zero Down 1. Unexplained variation due to factors other the relationship between the response and predictors 2. Degrees of freedom for t distribution 4. Probability of getting a getting a test statistic equal to or more extreme than the sample result, given that the null hypothesis is true 5. Estimated expected change in the response variable per unit change in predictor variable 7. Test statistic associated with the null hypothesis that there is no linear relationship

MTB > Regress 'MonRent' 1 'Size'; SUBC> Constant; SUBC> Brief 2. Regression Analysis: MonRent versus Size The regression equation is MonRent = Size Predictor Coef SE Coef T P Constant Size S = R-Sq = 72.3% R-Sq(adj) = 71.1% Analysis of Variance Source DF SS MS F P Regression Residual Error Total Unusual Observations Obs Size MonRent Fit SE Fit Residual St Resid X R R R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage.

Make a puzzle now! It's free! Choose a type of puzzle from the list below and make your own puzzle online for classroom or home use. Word Search Criss-Cross Double Puzzles Fallen Phrases Math Squares Mazes Letter Tiles Cryptograms Number Blocks Hidden Message

To create your criss-cross, follow the steps below and click the “Create My Criss-Cross” button when you are done. Puzzlemaker uses PNG image files which are only viewable in Netscape and Internet Explorer browsers version 4.0 or higher. Go to our Help page if you are having difficulty viewing Puzzlemaker puzzles. Enter the title of your criss-cross puzzle The title will appear at the top of your page. IMPORTANT: Puzzle titles are limited to 49 characters. _____________________ Enter the number of squares for your puzzle Width __50__ Height __50__ Enter the size of the square Specify the size of each square. 30 is standard size. Square size __30__ Enter the words and clues On each line enter a word followed by a space and then the clue for that word. ______________________________ ______________________________ ______________________________ ______________________________ ______________________________ ______________________________ Create My PuzzleHelp

Three Insights 15 Minutes for 10-Term Quiz Different Versions by the Click of the Mouse One-Word Responses including Hyphenated Responses

In-Class Exercise Complete this criss-cross puzzle with appropriate words, including words with hyphens. Across 4. inferential method in addition to hypothesis testing 5. critical region 8. sigma assumption for Z test 10. sign always present in null hypothesis 11. probability of Type II error 13. observed level of significance 14. opposite of null hypothesis Down beta alpha 3. value that divides nonrejection and rejection regions 6. status quo hypothesis 7. size of p-value to reject null hypothesis 9. assumption for t test 12. level of significance

Final Examination Question Below are four survey questions related to your introduction to terminology by the use of crossword puzzles in QTM1310. This question has two parts. First answer the four survey questions Q1 to Q4 based on your classroom experience; then in the second part provide answers about the nature of the four survey questions. If you were not present in the crossword puzzle classes, use the Minitab missing data response to answer that question. To receive full credit for this question, complete all parts. For Q1 to Q4 enter your answer on the blank line. For a to c print your answers in the spaces provided. Q1: Did you enjoy the use of crossword puzzles for an introduction to terminology? _________________________ Yes No Q2: Did the use of crossword puzzles enhance your learning of terminology? _________________________ Definitely No Probably No Neutral Probably Yes Definitely Yes Q3: What is the most appropriate number of terms for a QTM1310 crossword puzzle? _________________________ or more Q4: What is the most appropriate number of terms for a QTM1310 crossword puzzle? _________________________

Rows: Q1 Columns: Q2 D No D Yes Neutral P No P Yes All No Yes All Cell Contents: Count % of Row % of Column % of Total

Tally for Discrete Variables: Q3 Q3 Count Percent N= 47 Descriptive Statistics: Q4 Variable Mean StDev Min Q1 Q2 Q3 Max Q

Some Other Possibilities Fill in the Blank Crossword Puzzles Group Crossword Puzzles Exam Review Crossword Puzzles Student Creation Crossword Puzzles Other Types of Puzzles 16