Larson & Farber, Elementary Statistics: Picturing the World. Part One. Descriptive Statistics. Introduction to Statistics. An Overview of Statistics.
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Data Classification. Data Collection and Experimental Design. Descriptive Statistics.
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Frequency Distributions and Their Graphs. More Graphs and Displays. Measures of Central Tendency. Measures of Variation.
Measures of Position. Part Two. Probability & Probability Distributions. Probability. 3. 1. Basic Concepts of Probability and Counting. Conditional Probability and the Multiplication Rule. The Addition Rule.
Additional Topics in Probability and Counting. Discrete Probability Distributions. Probability Distributions. Binomial Distributions. More Discrete Probability Distributions.
Normal Probability Distributions. Introduction to Normal Distributions and the Standard Normal Distribution. Normal Distributions: Finding Probabilities.
Normal Distributions: Finding Values. Sampling Distributions and the Central Limit Theorem. Normal Approximations to Binomial Distributions. Part Three. Statistical Inference.
Confidence Intervals. Confidence Intervals for the Mean (Large Samples)6. Confidence Intervals for the Mean (Small Samples)6. Confidence Intervals for Population Proportions.
Confidence Intervals for Variance and Standard Deviation. Hypothesis Testing with One Sample. Introduction to Hypothesis Testing. Hypothesis Testing for the Mean (Large Samples)7. Hypothesis Testing for the Mean (Small Samples)7. Hypothesis Testing for Proportions.
Hypothesis Testing for Variance and Standard Deviation. Hypothesis Testing with Two Samples. Testing the Difference Between Means (Large Independent Samples)8. Testing the Difference Between Means (Small Independent Samples)8. Testing the Difference Between Means (Dependent Samples)8.
Testing the Difference Between Proportions. Part Four. More Statistical Inference. Correlation and Regression. Correlation. 9. 2. Linear Regression.
Measures of Regression and Prediction Intervals. Multiple Regression. Chi- Square Tests and the F- Distribution.
Goodness- of- Fit Test. Independence. 10. Comparing Two Variances.
Analysis of Variance. Nonparametric Tests. The Sign Test. 11.
The Wilcoxon Tests. The Kruskal- Wallis Test. Rank Correlation. The Runs Test. Appendix A. Alternative Presentation of the Standard Normal Distribution Standard Normal Distribution Table (0- to- z) Alternative Presentation of the Standard Normal Distribution.
Appendix B. Tables Table 1 Random Numbers Table 2 Binomial Distribution Table 3 Poisson Distribution Table 4 Standard Normal Distribution Table 5 t- Distribution Table 6 Chi- Square Distribution Table 7 F- Distribution Table 8 Critical Values for the Sign Test Table 9 Critical Values for the Wilcoxon Signed- Rank Test Table 1. Critical Values for the Spearman Rank Correlation Table 1. Critical Values for the Pearson Correlation Coefficient Table 1.
Critical Values for the Number of Runs. Appendix C. Normal Probability Plots and Their Graphs. Answers to the Try It Yourself Exercises.
Odd Answers. Index.
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