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1. The Where, Why, and How of Data Collection
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2. Graphs, Charts, and Tables–Describing Your Data
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3. Describing Data Using Numerical Measures
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4. Special Review Section I
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5. Introduction to Probability
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6. Discrete Probability
Distributions
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7. Introduction to Continuous
Probability Distributions
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8. Introduction to Sampling
Distributions
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9. Estimating Single Population
Parameters
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10. Introduction to Hypothesis
Testing
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11. Estimation and Hypothesis Testing for Two Population
Parameters
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12. Hypothesis Tests and Estimation for Population
Variances
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13. Analysis of Variance
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14. Special Review Section II
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15. Goodness-of-Fit Tests and Contingency Analysis
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16. Introduction to Linear Regression and Correlation
Analysis
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17. Multiple Regression Analysis and Model Building
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18. Analyzing and Forecasting Time-Series Data
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19. Introduction to Nonparametric Statistics
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20. Introduction to Quality and
Statistical Process Control
