Tabla de contenidos provista por Syndetics

• 1 The Nature of Probability and Statistics
• 1-1 Introduction
• 1-2 Descriptive and Inferential Statistics
• 1-3 Variables and Types of Data
• 1-4 Data Collection and Sampling Techniques
• 1-5 Observational and Experimental Studies
• 1-6 Uses and Misuses of Statistics
• 1-7 Computers and Calculators
• 1-8 Summary
• 2 Frequency Distributions and Graphs
• 2-1 Introduction
• 2-2 Organizing Data
• 2-3 Histograms, Frequency Polygons, and Ogives
• 2-4 Other Types of Graphs
• 2-5 Summary
• 3 Data Description
• 3-1 Introduction
• 3-2 Measures of Central Tendency
• 3-3 Measures of Variation
• 3-4 Measures of Position
• 3-5 Exploratory Data Analysis
• 3-6 Summary
• 4 Probability and Counting Rules
• 4-1 Introduction
• 4-2 Sample Spaces and Probability
• 4-3 The Addition Rules for Probability
• 4-4 The Multiplication Rules and Conditional Probability
• 4-5 Counting Rules
• 4-6 Probability and Counting Rules
• 4-7 Summary
• 5 Discrete Probability Distributions
• 5-1 Introduction
• 5-2 Probability Distributions
• 5-3 Mean, Variance, and Expectation
• 5-4 The Binomial Distribution
• 5-5 Other Types of Distributions (Optional)
• 5-6 Summary
• 6 The Normal Distribution
• 6-1 Introduction
• 6-2 Properties of the Normal Distribution
• 6-3 The Standard Normal Distribution
• 6-4 Applications of the Normal Distribution
• 6-5 The Central Limit Theorem
• 6-6 The Normal Approximation to the Binomial Distribution
• 6-7 Summary
• 7 Confidence Intervals and Sample Size
• 7-1 Introduction
• 7-2 Confidence Intervals for the Mean (s Known or n³30)
• 7-3 Confidence Intervals for the Mean (s Unknown or n
• 7-4 Confidence Intervals and Sample Size for Proportions
• 7-5 Confidence Intervals for Variances and Standard Deviations
• 7-6 Summary
• 8 Hypothesis Testing
• 8-1 Introduction
• 8-2 Steps in Hypothesis Testing - Traditional Method
• 8-3 z Test for a Mean
• 8-4 t Test for a Mean
• 8-5 z Test for a Proportion
• 8-6 chi^2 test for a Variance or Standard Deviation
• 8-7 Additional Topics Regarding Hypothesis Testing
• 8-8 Summary
• 9 Testing the Difference Between Two Means, Two Variances, and Two Proportions
• 9-1 Introduction
• 9-2 Testing the Difference Between Two Means: Large Samples
• 9-3 Testing the Difference Between Two Variances
• 9-4 Testing the Difference Between Two Means: Small Independent Samples
• 9-5 Testing the Difference Between Two Means: Small Dependent Samples
• 9-6 Testing the Difference Between Proportions
• 9-7 Summary
• 10 Correlation and Regression
• 10-1 Introduction
• 10-2 Scatter Plots
• 10-3 Correlation
• 10-4 Regression
• 10-5 Coefficient of Determination and Standard Error of the Estimate
• 10-6 Multiple Regression (Optional)
• 10-7 Summary
• 11 Other Chi-Square Tests
• 11-1 Introduction
• 11-2 Test for Goodness of Fit
• 11-3 Tests Using Contingency Tables
• 11-4 Summary
• 12 Analysis of Variance
• 12-1 Introduction
• 12-2 One-Way Analysis of Variance
• 12-3 The Scheffé Test and the Tukey Test
• 12-4 Two-Way Analysis of Variance
• 12-5 Summary
• 13 Nonparametric Statistics
• 13-1 Introduction
• 13-2 Advantages and Disadvantages of Nonparametric Methods
• 13-3 The Sign Test
• 13-4 The Wilcoxon Rank Sum Test
• 13-5 The Wilcoxon Signed-Rank Test
• 13-6 The Kruskal-Wallis Test
• 13-7 The Spearman Rank Correlation Coefficient and the Runs Test
• 18-8 Summary
• 14 Sampling and Simulation
• 14-1 Introduction
• 14-2 Common Sampling Techniques
• 14-3 Surveys and Questionnaire Design
• 14-4 Simulation Techniques
• 14-5 The Monte Carlo Method
• 14-6 Summary
• Appendix A Algebra Review
• Appendix B-1 Writing the Research Report
• Appendix B-2 Bayes's Theorem
• Appendix B-3 Alternate Method for the Standard Normal Distribution
• Appendix C Tables
• Appendix D Data Bank
• Appendix E Glossary
• Appendix F Bibliography
• Appendix G Photo Credits
• Appendix H Selected Answers