Description
The Completely Updated Guide for Everyone Who’s Ever Been Afraid of Statistics!
The easy, practical, up-to-date introduction to statistics–for everyone! Thought you couldn’t learn statistics? You can–and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes!
Here’s Just Some of What You’ll Learn How to Do...
• Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3
• Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
• Use probability and probability distributions
• Work with sampling distributions and confidence intervals
• Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
• Perform powerful regression analysis and modeling
• Use multiple regression to develop models that contain several independent variables
• Master specific statistical techniques for quality and Six Sigma programs
About the Web Site
Download practice files, templates, data sets, and sample spreadsheet models–including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e
Table of Contents
Acknowledgments viii
About the Authors ix
Introduction: The Even You Can Learn Statistics Owners Manual xi
Chapter 1 Fundamentals of Statistics 1
1.1 The First Three Words of Statistics 2
1.2 The Fourth and Fifth Words 4
1.3 The Branches of Statistics 5
1.4 Sources of Data 6
1.5 Sampling Concepts 7
1.6 Sample Selection Methods 9
Chapter 2 Presenting Data in Charts and Tables 19
2.1 Presenting Categorical Variables 19
2.2 Presenting Numerical Variables 26
2.3 Misusing Charts 32
Chapter 3 Descriptive Statistics 43
3.1 Measures of Central Tendency 43
3.2 Measures of Position 47
3.3 Measures of Variation 51
3.4 Shape of Distributions 57
Chapter 4 Probability 71
4.1 Events 71
4.2 More Definitions 72
4.3 Some Rules of Probability 74
4.4 Assigning Probabilities 77
Chapter 5 Probability Distributions 83
5.1 Probability Distributions for Discrete Variables 83
5.2 The Binomial and Poisson Probability Distributions 89
5.3 Continuous Probability Distributions and the Normal Distribution 97
5.4 The Normal Probability Plot 105
Chapter 6 Sampling Distributions and Confidence Intervals 119
6.1 Sampling Distributions 119
6.2 Sampling Error and Confidence Intervals 123
6.3 Confidence Interval Estimate for the Mean Using the t Distribution (ó Unknown) 127
6.4 Confidence Interval Estimation for Categorical Variables 131
Chapter 7 Fundamentals of Hypothesis Testing 141
7.1 The Null and Alternative Hypotheses 141
7.2 Hypothesis Testing Issues 143
7.3 Decision-Making Risks 145
7.4 Performing Hypothesis Testing 147
7.5 Types of Hypothesis Tests 148
Chapter 8 Hypothesis Testing: Z and t Tests 153
8.1 Testing for the Difference Between Two Proportions 53
8.2 Testing for the Difference Between the Means of Two Independent Groups 160
8.3 The Paired t Test 166
Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA) 179
9.1 Chi-Square Test for Two-Way Cross-Classification Tables 179
9.2 One-Way Analysis of Variance (ANOVA): Testing for the Differences Among the Means of More Than Two Groups 186
Chapter 10 Simple Linear Regression 207
10.1 Basics of Regression Analysis 208
10.2 Determining the Simple Linear Regression Equation 209
10.3 Measures of Variation 217
10.4 Regression Assumptions 222
10.5 Residual Analysis 223
10.6 Inferences About the Slope 225
10.7 Common Mistakes Using Regression Analysis 228
Chapter 11 Multiple Regression 245
11.1 The Multiple Regression Model 245
11.2 Coefficient of Multiple Determination 248
11.3 The Overall F test 249
11.4 Residual Analysis for the Multiple Regression Model 250
11.5 Inferences Concerning the Population Regression Coefficients 251
Chapter 12 Quality and Six Sigma Applications of Statistics 265
12.1 Total Quality Management 265
12.2 Six Sigma 267
12.3 Control Charts 268
12.4 The p Chart 271
12.5 The Parable of the Red Bead Experiment: Understanding Process Variability 276
12.6 Variables Control Charts for the Mean and Range 278
Appendix A Calculator and Spreadsheet Operation and Configuration 295
A.C1 Calculator Operation Conventions 295
A.C2 Calculator Technical Configuration 297
A.C3 Using the A2MULREG Program 298
A.C4 Using TI Connect 298
A.S1 Spreadsheet Operation Conventions 299
A.S2 Spreadsheet Technical Configurations 299
Appendix B Review of Arithmetic and Algebra 301
Assessment Quiz 301
Symbols 304
Answers to Quiz 310
Appendix C Statistical Tables 311
Appendix D Spreadsheet Tips 339
CT: Chart Tips 339
FT: Function Tips 341
ATT: Analysis ToolPak Tips (Microsoft Excel only) 343
Appendix E Advanced Techniques 347
E.1 Using PivotTables to Create Two-Way Cross-Classification Tables 347
E.2 Using the FREQUENCY Function to Create Frequency Distributions 349
E.3 Calculating Quartiles 350
E.4 Using the LINEST Function to Calculate Regression Results 351
Appendix F Documentation for Downloadable Files 353
F.1 Downloadable Data Files 353
F.2 Downloadable Spreadsheet Solution Files 357
Glossary 359
Index 367
Purchase Info
ISBN-10: 0-13-702596-3
ISBN-13: 978-0-13-702596-1
Format: On-line Supplement
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