Inferential Statistics Using Excel

Slides:



Advertisements
Similar presentations
THE ART (AND SCIENCE?) OF INTERPRETING TABLES. BACKGROUND READINGS Pollock, Essentials, chs. 3-4.
Advertisements

Guide to Using Excel 2007 For Basic Statistical Applications To Accompany Business Statistics: A Decision Making Approach, 8th Ed. Chapter 15: Multiple.
Exam Feb 28: sets 1,2 Set 1 due Thurs Memo C-1 due Feb 14 Free tutoring will be available next week Plan A: MW 4-6PM OR Plan B: TT 2-4PM VOTE for Plan.
The Regression Equation  A predicted value on the DV in the bi-variate case is found with the following formula: Ŷ = a + B (X1)
SPSS Session 5: Association between Nominal Variables Using Chi-Square Statistic.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Bivariate Correlation and Regression CHAPTER Thirteen.
Learning Objectives 1 Copyright © 2002 South-Western/Thomson Learning Data Analysis: Bivariate Correlation and Regression CHAPTER sixteen.
LECTURE 3 Introduction to Linear Regression and Correlation Analysis
Statistics 350 Lecture 16. Today Last Day: Introduction to Multiple Linear Regression Model Today: More Chapter 6.
Linear Regression and Correlation Analysis
Inferential Statistics  Hypothesis testing (relationship between 2 or more variables)  We want to make inferences from a sample to a population.  A.
Data Analysis Statistics. Inferential statistics.
Brown, Suter, and Churchill Basic Marketing Research (8 th Edition) © 2014 CENGAGE Learning Basic Marketing Research Customer Insights and Managerial Action.
Chapter 14 Introduction to Linear Regression and Correlation Analysis
Week 14 Chapter 16 – Partial Correlation and Multiple Regression and Correlation.
Inferential Statistics
Example of Simple and Multiple Regression
Multivariate Data Analysis Chapter 8 - Canonical Correlation Analysis.
Correlation and Regression. The test you choose depends on level of measurement: IndependentDependentTest DichotomousContinuous Independent Samples t-test.
Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &
OPIM 303-Lecture #8 Jose M. Cruz Assistant Professor.
Soc 3306a Multiple Regression Testing a Model and Interpreting Coefficients.
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc. Chap 12-1 Correlation and Regression.
Chap 12-1 A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. A Course In Business Statistics 4 th Edition Chapter 12 Introduction to Linear.
Soc 3306a Lecture 9: Multivariate 2 More on Multiple Regression: Building a Model and Interpreting Coefficients.
Multivariate Regression 11/19/2013. Readings Chapter 8 (pp ) Chapter 9 Dummy Variables and Interaction Effects (Pollock Workbook)
Examining Relationships in Quantitative Research
Next Colin Clarke-Hill and Ismo Kuhanen 1 Analysing Quantitative Data 1 Forming the Hypothesis Inferential Methods - an overview Research Methods Analysing.
C M Clarke-Hill1 Analysing Quantitative Data Forming the Hypothesis Inferential Methods - an overview Research Methods.
Chapter 16 Data Analysis: Testing for Associations.
September 18-19, 2006 – Denver, Colorado Sponsored by the U.S. Department of Housing and Urban Development Conducting and interpreting multivariate analyses.
Lecture 10: Correlation and Regression Model.
Chapter Thirteen Copyright © 2006 John Wiley & Sons, Inc. Bivariate Correlation and Regression.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 12 Testing for Relationships Tests of linear relationships –Correlation 2 continuous.
Chapter 11: Chi-Square  Chi-Square as a Statistical Test  Statistical Independence  Hypothesis Testing with Chi-Square The Assumptions Stating the Research.
Data Analysis: Analyzing Multiple Variables Simultaneously Chapter 21.
Basic Data Analysis for Quantitative Research Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
The Correlational Research Strategy Chapter 12. Correlational Research The goal of correlational research is to describe the relationship between variables.
Regression Analysis. 1. To comprehend the nature of correlation analysis. 2. To understand bivariate regression analysis. 3. To become aware of the coefficient.
APPLIED DATA ANALYSIS IN CRIMINAL JUSTICE CJ 525 MONMOUTH UNIVERSITY Juan P. Rodriguez.
Chapter 14 – 1 Chi-Square Chi-Square as a Statistical Test Statistical Independence Hypothesis Testing with Chi-Square The Assumptions Stating the Research.
Copyright © 2008 by Nelson, a division of Thomson Canada Limited Chapter 18 Part 5 Analysis and Interpretation of Data DIFFERENCES BETWEEN GROUPS AND RELATIONSHIPS.
Introduction Many problems in Engineering, Management, Health Sciences and other Sciences involve exploring the relationships between two or more variables.
Introduction to Marketing Research
Chapter 13 Simple Linear Regression
Lecture 10 Regression Analysis
Hypothesis Testing.
REGRESSION G&W p
PSY 325 aid Something Great/psy325aid.com
REGRESSION (R2).
Dr. Siti Nor Binti Yaacob
Inferential Statistics
Linear Regression and Correlation Analysis
Bi-variate #1 Cross-Tabulation
Week 14 Chapter 16 – Partial Correlation and Multiple Regression and Correlation.
STA 282 Introduction to Statistics
CHAPTER fourteen Correlation and Regression Analysis
Essentials of Marketing Research William G. Zikmund
Interactions & Simple Effects finding the differences
An Introduction to SPSS and Research Methodologies H
Prepared by Lee Revere and John Large
STA 282 – Regression Analysis
UNDERSTANDING RESEARCH RESULTS: STATISTICAL INFERENCE
Product moment correlation
An Introduction to Correlational Research
CLASS 6 CLASS 7 Tutorial 2 (EXCEL version)
Introduction to Regression
Contingency Tables (cross tabs)
Presentation transcript:

Inferential Statistics Using Excel Michael A. Levin, PhD mlevin@otterbein.edu @MichaelALevin #OPEGStats16

Inferential Statistitcs Using Excel Today’s Order Introductions Goal Metric / Non metric Pivot Table Cross tabulations and 2 Correlation Bivariate Regression Multiple Regression One-way ANOVA Resources Wrapping Up July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Introductions Name Position Employer How you got into evaluations, analytics, research Android, Apple, Other SPSS, SAS, R July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Goal To introduce a few inferential statistical techniques for evaluators, analysis, researchers, etc. who are using Excel. July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Nature of Data Non-metric Metric July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Pivot Table Organize gangly columns of data into elegant tables. Example: Pareto dataset July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Cross Tabs and 2 Easy interpretation, understanding Stronger link between research, decision Give more insights Few respondents Good for novices Cover up Small samples July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Cross Tabs and 2 Exercise: Station Part 1: Develop a cross tab based on income and family size Part 2: Test the null hypothesis on cross tab from Part 1. Part 3: What managerial insights are offered based on Part 2? July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Correlation Determines values associated with relationship between two (metric and/or nonmetric) variables. July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Regression Predict change in (metric) output given change from (metric) input. Bivariate – one IV, one DV Multiple – many IVs, one DV Multivariate – one IV, many DVs Example: Mao’s place dataset Example: Europe dataset Example: Autos dataset July 14, 2016 Inferential Statistitcs Using Excel

Correlation and Regression Exercise: Housedata Part 1: What is the strength of relationship between square foot and house value? July 14, 2016 Inferential Statistitcs Using Excel

Correlation and Regression Exercise: Housedata Part 1: How much would your home value increase by with a 500-square-foot addition? Part 2: What percentage of the variation in home value is explained by the variation in house size? Part 3: Is a 3,000-square-foot house listed at $500,000 out line with typical real estate values? July 14, 2016 Inferential Statistitcs Using Excel

Correlation and Regression Exercise: Cardata Part 1: Develop a model that predicts MPG. Part 2: What is the strength of relationship between the variables? July 14, 2016 Inferential Statistitcs Using Excel

Correlation and Regression Exercise: Oreos Part 1: What is the strength of relationship between shelf position and Oreo sales? Part 2: How does shelf position influence sales of Oreos? Part 3: Include observation in your model. July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel ANOVA Determine difference between, within groups. Example: Oneway ANOVA dataset July 14, 2016 Inferential Statistitcs Using Excel

Correlation and Regression Exercise: Cakes Part 1: Does temperature appear to influence cake quality? Part 2: If you believe that the size of the oven used influences cake quality, does this analysis remain valid? July 14, 2016 Inferential Statistitcs Using Excel

Correlation and Regression Exercise: Usedcars Part 1: Is there evidence that the sales people exhibit a significant difference in performance? Part 2: If the first two people are men and the last two are women, is there significant evidence that the male sales reps perform differently than the female sales reps? July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Resources Books Marketing Analytics: Data-Drive Techniques with Excel Website Chandoo.com Real-statistics.com YouTube ExcelisFun MktgStudyGuide StatisticsFun July 14, 2016 Inferential Statistitcs Using Excel

Inferential Statistitcs Using Excel Wrapping Up One thing Excel = powerful Get you started Additional resources July 14, 2016 Inferential Statistitcs Using Excel