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Language: English
ISBN-10: 0321989392
ISBN-13: 978-0321989390
ISBN-13: 9780321989390

Author: Neil A. Weiss

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Solution Manual for Elementary Statistics 9th Edition by Weiss ISBN 0321989392 9780321989390

Table of Content:

PART I: Introduction

1. The Nature of Statistics
1.1 Statistics Basics
1.2 Simple Random Sampling
1.3 Other Sampling Designs∗
1.4 Experimental Designs∗

PART II: Descriptive Statistics

2. Organizing Data
2.1 Variables and Data
2.2 Organizing Qualitative Data
2.3 Organizing Quantitative Data
2.4 Distribution Shapes
2.5 Misleading Graphs∗
3. Descriptive Measures
3.1 Measures of Center
3.2 Measures of Variation
3.3 Chebyshev’s Rule and the Empirical Rule∗
3.4 The Five-Number Summary; Boxplots
3.5 Descriptive Measures for Populations; Use of
4. Descriptive Methods in Regression and Correlation
4.1 Linear Equations with One Independent Variable
4.2 The Regression Equation
4.3 The Coefficient of Determination
4.4 Linear Correlation

PART III: Probability, Random Variables, and Sampling Distributions
5. Probability and Random Variables
5.1 Probability Basics
5.2 Events
5.3 Some Rules of Probability
5.4 Discrete Random Variables and Probability Distributions∗
5.5 The Mean and Standard Deviation of a Discrete Random Variable∗
5.6 The Binomial Distribution∗
6. The Normal Distribution
6.1 Introducing Normally Distributed Variables
6.2 Areas under the Standard Normal Curve
6.3 Working with Normally Distributed Variables
6.4 Assessing Normality; Normal Probability Plots
7. The Sampling Distribution of the Sample Mean
7.1 Sampling Error; the Need for Sampling Distributions
7.2 The Mean and Standard Deviation of the Sample Mean
7.3 The Sampling Distribution of the Sample Mean

PART IV: Inferential Statistics

8. Confidence Intervals for One Population Mean
8.1 Estimating a Population Mean
8.2 Confidence Intervals for One Population Mean When σ Is Known
8.3 Confidence Intervals for One Population Mean When σ Is Unknown
9. Hypothesis Tests for One Population Mean
9.1 The Nature of Hypothesis Testing
9.2 Critical-Value Approach to Hypothesis Testing
9.3 P-Value Approach to Hypothesis Testing
9.4 Hypothesis Tests for One Population Mean When σ Is Known
9.5 Hypothesis Tests for One Population Mean When σ Is Unknown
10. Inferences for Two Population Means
10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
10.4 Inferences for Two Population Means, Using Paired Samples
11. Inferences for Population Proportions
11.1 Confidence Intervals for One Population Proportion
11.2 Hypothesis Tests for One Population Proportion
11.3 Inferences for Two Population Proportions
12. Chi-Square Procedures
12.1 The Chi-Square Distribution
12.2 Chi-Square Goodness-of-Fit Test
12.3 Contingency Tables; Association
12.4 Chi-Square Independence Test
12.5 Chi-Square Homogeneity Test
13. Analysis of Variance (ANOVA)
13.1 The F-Distribution
13.2 One-Way ANOVA: The Logic
13.3 One-Way ANOVA: The Procedure
14. Inferential Methods in Regression and Correlation
14.1 The Regression Model; Analysis of Residuals
14.2 Inferences for the Slope of the Population Regression Line
14.3 Estimation and Prediction
14.4 Inferences in Correlation
Appendix A: Statistical Tables
Appendix B: Answers to Selected Exercises

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