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KCP - Statistics in Action c2008
Mathematics - Grade 11

 
  CHAPTER KCP.1. Chapter 1: Statistical Reasoning: Investigating a Claim of Discrimination
    SECTION KCP.1.1. Chapter 1 Section 1: Discrimination in the Workplace: Data Exploration (pp. 4 - 8)
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    SECTION KCP.1.2. Chapter 1 Section 2: Discrimination in the Workplace: Inference (pp. 11 - 16)
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  CHAPTER KCP.2. Chapter 2: Exploring Distributions
    SECTION KCP.2.1. Chapter 2 Section 1: Visualizing Distributions: Shape, Center, and Spread (pp. 28 - 37)
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    SECTION KCP.2.2. Chapter 2 Section 2: Graphical Displays for Distributions (pp. 42 - 51)
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    SECTION KCP.2.3. Chapter 2 Section 3: Measures of Center and Spread (pp. 56 - 68)
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    SECTION KCP.2.4. Chapter 2 Section 4: Working with Summary Statistics (pp. 74 - 79)
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    SECTION KCP.2.5. Chapter 2 Section 5: The Normal Distribution (pp. 83 - 92)
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  CHAPTER KCP.3. Chapter 3: Relationships Between Two Quantitative Variables
    SECTION KCP.3.1. Chapter 3 Section 1: Scatterplots (pp. 106 - 109)
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    SECTION KCP.3.2. Chapter 3 Section 2: Getting a Line on the Pattern (pp. 116 - 129)
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    SECTION KCP.3.3. Chapter 3 Section 3: Correlation: The Strength of a Linear Trend (pp. 140 - 154)
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    SECTION KCP.3.4. Chapter 3 Section 4: Diagnostics: Looking for Features That the Summaries Miss (pp. 162 - 172)
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    SECTION KCP.3.5. Chapter 3 Section 5: Shape-Changing Transformations (pp. 179 - 193)
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  CHAPTER KCP.4. Chapter 4: Sample Surveys and Experiments
    SECTION KCP.4.1. Chapter 4 Section 1: Why Take Samples, and How Not To (pp. 219 - 227)
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    SECTION KCP.4.2. Chapter 4 Section 2: Random Sampling: Playing It Safe by Taking Chances (pp. 231 - 239)
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    SECTION KCP.4.3. Chapter 4 Section 3: Experiments and Inference About Cause (pp. 243 - 256)
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    SECTION KCP.4.4. Chapter 4 Section 4: Designing Experiments to Reduce Variability (pp. 262 - 273)
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  CHAPTER KCP.5. Chapter 5: Probability Models
    SECTION KCP.5.1. Chapter 5 Section 1: Constructing Models of Random Behavior (pp. 288 - 296)
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    SECTION KCP.5.2. Chapter 5 Section 2: Using Simulation to Estimate Probabilities (pp. 301 - 309)
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    SECTION KCP.5.3. Chapter 5 Section 3: The Addition Rule and Disjoint Events (pp. 315 - 321)
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    SECTION KCP.5.4. Chapter 5 Section 4: Conditional Probability (pp. 325 - 333)
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    SECTION KCP.5.5. Chapter 5 Section 5: Independent Events (pp. 339 - 345)
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  CHAPTER KCP.6. Chapter 6: Probability Distributions
    SECTION KCP.6.1. Chapter 6 Section 1: Random Variables and Expected Value (pp. 358 - 375)
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    SECTION KCP.6.2. Chapter 6 Section 2: The Binomial Distribution (pp. 382 - 389)
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    SECTION KCP.6.3. Chapter 6 Section 3: The Geometric Distribution (pp. 393 - 399)
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  CHAPTER KCP.7. Chapter 7: Sampling Distributions
    SECTION KCP.7.1. Chapter 7 Section 1: Generating Sampling Distributions (pp. 410 - 417)
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    SECTION KCP.7.2. Chapter 7 Section 2: Sampling Distribution of the Sample Mean (pp. 426 - 436)
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    SECTION KCP.7.3. Chapter 7 Section 3: Sampling Distribution of the Sample Proportion (pp. 446 - 453)
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  CHAPTER KCP.8. Chapter 8: Inference for Proportions
    SECTION KCP.8.1. Chapter 8 Section 1: Estimating a Proportion with Confidence (pp. 468 - 482)
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    SECTION KCP.8.2. Chapter 8 Section 2: Testing a Proportion (pp. 490 - 508)
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    SECTION KCP.8.3. Chapter 8 Section 3: A Confidence Interval for the Difference of Two Proportions (pp. 518 - 522)
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    SECTION KCP.8.4. Chapter 8 Section 4: A Significance Test for the Difference of Two Proportions (pp. 526 - 535)
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    SECTION KCP.8.5. Chapter 8 Section 5: Inference for Experiments (pp. 539 - 549)
 
  CHAPTER KCP.9. Chapter 9: Inference for Means
    SECTION KCP.9.1. Chapter 9 Section 1: A Confidence Interval for a Mean (pp. 562 - 573)
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    SECTION KCP.9.2. Chapter 9 Section 2: A Significance Test for a Mean (pp. 580 - 595)
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    SECTION KCP.9.3. Chapter 9 Section 3: When Things Aren't Normal (pp. 602 - 608)
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    SECTION KCP.9.4. Chapter 9 Section 4: Inference for the Difference Between Two Means (pp. 616 - 630)
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    SECTION KCP.9.5. Chapter 9 Section 5: Paired Comparisons (pp. 640 - 651)
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  CHAPTER KCP.10 Chapter 10: Chi-Square Tests
    SECTION KCP.10.1. Chapter 10 Section 1: Testing a Probability Model: The Chi-Square Goodness-of-Fit Test (pp. 674 - 686)
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    SECTION KCP.10.2. Chapter 10 Section 2: The Chi-Square Test of Homogeneity (pp. 692 - 705)
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    SECTION KCP.10.3. Chapter 10 Section 3: The Chi-Square Test of Independence (pp. 711 - 723)
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  CHAPTER KCP.11 Chapter 11: Inference for Regression
    SECTION KCP.11.1. Chapter 11 Section 1: Variation in the Slope from Sample to Sample (pp. 739 - 748)
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    SECTION KCP.11.2. Chapter 11 Section 2: Making Inferences About Slopes (pp. 755 - 765)
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    SECTION KCP.11.3. Chapter 11 Section 3: Transforming for a Better Fit (pp. 771 - 781)
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  CHAPTER KCP.12 Chapter 12: Statistics in Action: Case Studies
    SECTION KCP.12.1. Chapter 12 Section 1: Mum's the Word! (pp. 800 - 803)
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    SECTION KCP.12.2. Chapter 12 Section 2: Keeping Tabs on Americans (pp. 803 - 810)
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    SECTION KCP.12.3. Chapter 12 Section 3: Baseball: Does Money Buy Success? (pp. 810 - 817)
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    SECTION KCP.12.4. Chapter 12 Section 4: Martin v. Westvaco Revisited: Testing for Possible Discrimination Against Employees (pp. 817 - 823)
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