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Summary
Navidi/Monk, Elementary Statisticswas developed around three central themes Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. 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. Technology is integrated throughout the text, providing students examples of how to use the TI-83 Plus and TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab. The accuracy of Elementary Statisticswas a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text.
Table of Contents
h1> Table of Contents—Navidi/Monk Elementary Statistics
Chapter 1: Basic Ideas
1.1 Sampling
1.2 Types of Data
1.3 Design of Experiments
1.4 Bias in Study
Chapter 1 Summary
Chapter Quiz
Chapter 1 Review Exercises
Case Study
Chapter 2: Graphical Summaries of Data
2.1 Graphical Summaries for Qualitative Data
2.2 Frequency Distributions and Their Graphs
2.3 More Graphs for Quantitative Data
2.4 Graphs Can Be Misleading
Chapter 2 Summary
Chapter Quiz
Chapter 2 Review Exercises
Case Study
Chapter 3: Numerical Summaries of Data
3.1 Measures of Center Data
3.2 Measures of Spread
3.3 Measures of Position
Chapter 3 Summary
Chapter Quiz
Chapter 3 Review Exercises
Case Study
Chapter 4: Summarizing Bivariate Data
4.1 Correlation
4.2 The Least-Squares Regression Line
4.3 Features and Limitations of the Least-Squares Regression Line
Chapter 4 Summary
Chapter Quiz
Chapter 4 Review Exercises
Case Study
Chapter 5: Probability
5.1 Basic Ideas
5.2 The Addition Rule and the Rule of Compliments
5.3 Conditional Probability and the Multiplication Rule
5.4 Counting
Chapter 5 Summary
Chapter Quiz
Chapter 5 Review Exercises
Case Study
Chapter 6: Discrete Probability Distributions
6.1 Random Variables
6.2 The Binomial Distribution
6.3 The Poisson Distribution
Chapter 6 Summary
Chapter Quiz
Chapter 6 Review Exercises
Case Study
Chapter 7: The Normal Distribution
7.1 The Standard Normal Curve
7.2 Applications of the Normal Distribution
7.3 Sampling Distributions and the Central Limit Theorem
7.4 The Central Limit Theorem for Proportions
7.5 The Normal Approximation to the Binomial Distribution
7.6 Assessing Normality
Chapter 7 Summary
Chapter Quiz
Chapter 7 Review Exercises
Case Study
Chapter 8: Confidence Intervals
8.1 Confidence Intervals for a Population Mean, Standard Deviation Known
8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown
8.3 Confidence Intervals for a Population Proportion
8.4 The Central Limit Theorem for Proportions
8.5 Determining Which Method to Use
Chapter 8 Summary
Chapter Quiz
Chapter 8 Review Exercises
Case Study
Chapter 9: Hypothesis Testing
9.1 Basic Principles of Hypothesis Testing
9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known
9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown
9.4 Hypothesis Tests for Proportions
9.5 Hypothesis Tests for a Standard Deviation
9.6 Determining Which Method to Use
9.7 Power
Chapter 9 Summary
Chapter Quiz
Chapter 9 Review Exercises
Case Study
Chapter 10: Two-Sample Confidence Intervals
10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples
10.2 Confidence Intervals for the Difference Between Two Proportions
10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples
Chapter 10 Summary
Chapter Quiz
Chapter 10 Review Exercises
Case Study
Chapter 11: Two-Sample Hypothesis Tests
11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples
11.2 Hypothesis Tests for the Difference Between Two Proportions
11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples
11.4 Hypothesis Tests for Two Population Standard Deviations
11.5 The Multiple Testing Problem
Chapter 11 Summary
Chapter Quiz
Chapter 11 Review Exercises
Case Study
Chapter 12: Tests with Qualitative Data
12.1 Testing Goodness-of-Fit
12.2 Tests for Independence and Homogeneity
Chapter 12 Summary
Chapter Quiz
Chapter 12 Review Exercises
Case Study
Chapter 13: Inference in Linear Models
13.1 Inference on the Slope of the Regression Line