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Chapter 1: Introduction to Statistics |
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| 1.1 |
Getting Started |
| 1.2 |
Data Classification |
| 1.3 |
The Process of a Statistical Study |
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Chapter 2: Graphical Descriptions of Data |
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| 2.1 |
Frequency Distributions |
| 2.2a |
Graphical Displays of Data: Pie Charts and Bar Graphs |
| 2.2b |
Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots |
| 2.3 |
Analyzing Graphs |
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Chapter 3: Numerical Descriptions of Data |
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| 3.1 |
Measure of Center |
| 3.2 |
Measure of Dispersion |
| 3.3 |
Measure of Relative Position |
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Chapter 4: Probability, Randomness, and Uncertainty |
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| 4.1 |
Classical Probability |
| 4.2 |
Probability Rules |
| 4.3 |
Basic Counting Rules |
| 4.4 |
Additional Counting Techniques |
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Chapter 5: Probability Distributions |
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| 5.1 |
Expected Value |
| 5.2 |
Binomial Distribution |
| 5.3 |
Poisson Distribution |
| 5.4 |
Hypergeometric Distribution |
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Chapter 6: Continuous Random Variables |
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| 6.1 |
Introduction to the Normal Curve |
| 6.2 |
Reading a Normal Curve Table |
| 6.3 |
Finding Probability Using the Normal Curve |
| 6.4 |
Finding z Values Using the Normal Curve |
| 6.5 |
Finding t Values Using the Student t-distribution |
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Chapter 7: Sampling Distributions |
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| 7.1 |
Central Limit Theorem |
| 7.2 |
Central Limit Theorem with Population Means |
| 7.3 |
Central Limit Theorem with Population Proportion |
| 7.4 |
Approximating the Binomial Distribution Using the Normal Distribution |
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Chapter 8: Confidence Intervals |
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| 8.1 |
Introduction to Estimating Population Means |
| 8.2 |
Estimating Population Means (Large Samples) |
| 8.3 |
Estimating Population Means (Small Samples) |
| 8.4 |
Estimating Population Proportions |
| 8.5 |
Estimating Population Variance |
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Chapter 9: Confidence Intervals for Two Samples |
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| 9.1 |
Comparing Two Means (Large, Independent Samples) |
| 9.2 |
Comparing Two Means (Small, Independent Samples) |
| 9.3 |
Comparing Two Means (Dependent Samples) |
| 9.4 |
Comparing Two Proportions (Large, Independent Samples) |
| 9.5 |
Comparing Two Population Variances |
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