Synopses & Reviews
Key Message: Statistics with Microsoft Excel^{®}, Fourth Edition shows readers how to use Microsoft Excel^{®} to perform statistical analysis. This step-by-step guide has been updated to cover the new features and new interface of Excel 2007.
Key Topics: Getting Started; Entering, Editing, and Recoding Information; Formulas; Frequency Distributions; Descriptive Statistics; Probability Distributions; Testing Hypotheses About One Sample Means; Testing Hypotheses About the Difference Between Two Means; Analysis of Variance; Correlation; Regression; Cross Tabulations; Random Samples
MARKET:For a variety of disciplines, including mathematics, the social sciences, and business. This book will be useful for data analysts and all readers who wish to use Excel to record, manipulate, and analyze their data.
Synopsis
This step-by-step Excel manual is designed for those who desire to learn how to effectively use Excel for data analysis. Its availability, easy-to-understand, basic spreadsheet operations, and analysis tools make Excel a superb software package to carry out statistical analyses. Expanded coverage of graphing and regression analysis. Use of Excel (instead of hand-held calculators) for number crunching. For a variety of disciplines, including mathematics, the social sciences, and business. Can be used by data analysts who wish to use Excel to record, manipulate, and analyze their data set.
About the Author
Beverly J. Dretzke, PhD, is a research associate at the University of Minnesota’s Center for Applied Research and Educational Improvement (CAREI). She serves as a principal investigator and project manager for projects related to program evaluation in school districts throughout Minnesota. Evaluation projects that she has worked on include studies of teacher professional development, Chinese language programs, and small learning communities. Prior to joining the staff at CAREI, Dretzke was a professor of psychology at the University of Wisconsin-Eau Claire where she taught courses in statistics, measurement, and educational psychology. She received her doctorate in educational psychology from the University of Wisconsin—Madison.
Table of Contents
1. Getting Started
1.1 Introduction and Overview
1.2 What May Be Skipped
1.3 Excel Worksheet Basics
1.4 Dialog Boxes
1.5 Accessing Excel Files on the Web site
1.6 Saving Information
1.7 Printing
1.8 Loading Excel's Analysis ToolPak
2. Entering, Editing, and Recoding Information
2.1 Opening Documents
2.2 Entering Information
2.3 Editing Information
2.4 Formatting Numbers
2.5 Recoding
2.6 Sorting
3. Formulas
3.1 Operators
3.2 Using Formulas in Statistics
4. Frequency Distributions
4.1 Frequency Distributions Using Pivot Table and Pivot Chart
4.2 Frequency Distributions Using Data Analysis Tools
5. Descriptive Statistics
5.1 Data Analysis Tools: Descriptive Statistics
5.2 Functions: Descriptive Statistics
5.3 Pivot Table: Descriptive Statistics
6. Probability Distributions
6.1 Discrete Probability Distributions
6.2 Continuous Probability Distributions
7. Testing Hypotheses About One Sample Means
7.1 One-Sample Z-Test
7.2 One-Sample t-Test
8. Testing Hypotheses About the Difference Between Two Means
8.1 t-Test for Two Independent Samples
8.2 Paired-Samples t-Test
8.3 Z-Test for Two Independent Samples
9. Analysis of Variance
9.1 One-Way Between-Groups ANOVA
9.2 One-Way Repeated Measures ANOVA
9.3 Two-Way Between-Groups ANOVA
9.4 F-Test for Two Sample Variances
10. Correlation
10.1 Pearson Correlation Coefficient
10.2 Spearman Rank Correlation Coefficient
11. Regression
11.1 Two-Variable Regression
11.2 Multiple Regression
11.3 Dummy Coding of Qualitative Variables
11.4 Curvilinear Regression
12. Cross Tabulations
12.1 Cross Tabulations Using the Pivot Table
12.2 Chi-Square Test of Independence
13. Random Samples
13.1 Random Selection Using the Random Number Generation Tool
13.2 Random Selection Using the Sampling Tool
13.3 Random Selection Using the RANDBETWEEN Function