ISE Elementary Statistics (ISE HED STATISTICS)

✍ Scribed by William Navidi, Barry Monk

• Publisher: McGraw-Hill Education
• Year: 2021
• Tongue: English
• Leaves: 2199
• Edition: 4
• Category: Library

✦ Synopsis

Elementary Statistics, 4th Edition, was developed around three central themes – Clarity, Quality, and Accuracy. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible. High quality exercises, examples, and integration of technology are important aspects of an introductory statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students.

✦ Table of Contents

Cover Page
Title Page
Copyright Page
Dedication
About the Authors
Brief Contents
Contents
Preface
New in this Edition
Acknowledgments
Connect
Supplements
Index of Applications
CHAPTER 1 Basic Ideas 1
1.1 Sampling 2
1.2 Types of Data 12
1.3 Design of Experiments 19
1.4 Bias in Studies 27
Chapter 1 Summary 31
Vocabulary and Notation 31
Chapter Quiz 32
Review Exercises 32
CHAPTER 2 Graphical Summaries of Data 37
2.1 Graphical Summaries for Qualitative Data 38
2.2 Frequency Distributions and Their Graphs 51
2.3 More Graphs for Quantitative Data 71
2.4 Graphs Can Be Misleading 83
Chapter 2 Summary 90
Vocabulary and Notation 90
Chapter Quiz 91
Review Exercises 92
CHAPTER 3 Numerical Summaries of Data 97
3.1 Measures of Center 98
3.2 Measures of Spread 118
3.3 Measures of Position 139
Chapter 3 Summary 158
Vocabulary and Notation 158
Chapter Quiz 159
Review Exercises 160
CHAPTER 4 Summarizing Bivariate Data 165
4.1 Correlation 166
4.2 The Least-Squares Regression Line 178
4.3 Features and Limitations of the Least-Squares Regression Line 190
Chapter 4 Summary 204
Vocabulary and Notation 204
Chapter Quiz 205
Review Exercises 206
CHAPTER 5 Probability 213
5.1 Basic Concepts of Probability 214
5.2 The Addition Rule and the Rule of Complements 226
5.3 Conditional Probability and the Multiplication Rule 235
5.4 Counting 248
Chapter 5 Summary 257
Vocabulary and Notation 257
Chapter Quiz 258
Review Exercises 259
CHAPTER 6 Discrete Probability Distributions 263
6.1 Random Variables 264
6.2 The Binomial Distribution 278
6.3 The Poisson Distribution 290
Chapter 6 Summary 296
Vocabulary and Notation 297
Chapter Quiz 297
Review Exercises 298
CHAPTER 7 The Normal Distribution 303
7.1 The Standard Normal Curve 304
7.2 Applications of the Normal Distribution 321
7.3 Sampling Distributions and the Central Limit Theorem 334
7.4 The Central Limit Theorem for Proportions 343
7.5 The Normal Approximation to the Binomial Distribution 349
7.6 Assessing Normality 356
Chapter 7 Summary 366
Vocabulary and Notation 367
Chapter Quiz 367
Review Exercises 368
CHAPTER 8 Confidence Intervals 371
8.1 Confidence Intervals for a Population Mean, Standard Deviation Known 372
8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown 385
8.3 Confidence Intervals for a Population Proportion 405
8.4 Confidence Intervals for a Standard Deviation 417
8.5 Determining Which Method to Use 422
Chapter 8 Summary 425
Vocabulary and Notation 426
Chapter Quiz 426
Review Exercises 427
CHAPTER 9 Hypothesis Testing 431
9.1 Basic Principles of Hypothesis Testing 432
9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known 439
9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown 458
9.4 Hypothesis Tests for Proportions 478
9.5 Hypothesis Tests for a Standard Deviation 488
9.6 Determining Which Method to Use 492
9.7 Power 494
Chapter 9 Summary 499
Vocabulary and Notation 499
Chapter Quiz 500
Review Exercises 500
CHAPTER 10 Two-Sample Confidence Intervals 505
10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples 506
10.2 Confidence Intervals for the Difference Between Two Means: Paired Samples 517
10.3 Confidence Intervals for the Difference Between Two Proportions 525
Chapter 10 Summary 533
Vocabulary and Notation 533
Chapter Quiz 534
Review Exercises 535
CHAPTER 11 Two-Sample Hypothesis Tests 539
11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples 540
11.2 Hypothesis Tests for the Difference Between Two Means: Paired Samples 551
11.3 Hypothesis Tests for the Difference Between Two Proportions 560
11.4 Hypothesis Tests for Two Population Standard Deviations 570
11.5 The Multiple Testing Problem 577
Chapter 11 Summary 581
Vocabulary and Notation 581
Chapter Quiz 581
Review Exercises 582
CHAPTER 12 Tests with Qualitative Data 587
12.1 Testing Goodness of Fit 588
12.2 Tests for Independence and Homogeneity 597
Chapter 12 Summary 607
Vocabulary and Notation 607
Chapter Quiz 607
Review Exercises 608
CHAPTER 13 Inference in Linear Models 613
13.1 Inference on the Slope of the Regression Line 614
13.2 Inference About the Response 630
13.3 Multiple Regression 636
Chapter 13 Summary 652
Vocabulary and Notation 653
Chapter Quiz 653
Review Exercises 654
CHAPTER 14 Analysis of Variance 661
14.1 One-Way Analysis of Variance 662
14.2 Two-Way Analysis of Variance 678
Chapter 14 Summary 691
Vocabulary and Notation 691
Chapter Quiz 692
Review Exercises 693
CHAPTER 15 Nonparametric Statistics 697
15.1 The Sign Test 698
15.2 The Rank-Sum Test 703
15.3 The Signed-Rank Test 709
Chapter 15 Summary 714
Vocabulary and Notation 714
Chapter Quiz 715
Review Exercises 715
Appendix A Tables A-1
Appendix B TI-84 PLUS Stat Wizards B-1
Answers to Odd-Numbered Exercises (Student edition only) SA-1
Index I-1
Tables A.2 & A.3 T1
Important Formulas IF-1