JMP Statistics 1st edition

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  • Chapter 1: Describing Data
    • 1.1: Describing One Nominal Variable
    • 1.2: Describing One Continuous Variable

  • Chapter 2: Numerical Measures for One Variable
    • 2.1: Measures of Center
    • 2.2: Measures of Variation
    • 2.3: Measures of Position

  • Chapter 3: Correlation and Regression
    • 3.1: Scatter Plots
    • 3.2: Correlation
    • 3.3: Linear Regression
    • 3.4: Nonlinear Relationships

  • Chapter 4: One-Sample Inference
    • 4.1: One-sample Confidence Intervals for a Population Mean
    • 4.2: One-sample Confidence Intervals for a Population Proportion
    • 4.3: One-sample Hypothesis Tests for a Population Mean
    • 4.4: One-sample Hypothesis Tests for a Population Proportion

  • Chapter 5: Two-Sample Inference: Confidence Intervals
    • 5.1: Confidence Intervals for the Difference of Two Population Means: Independent Samples, with Known Population Standard Deviations
    • 5.2: Confidence Intervals for the Difference of Two Population Means: Independent Samples, with Unknown Population Standard Deviations that are Assumed to be Equal
    • 5.3: Confidence Intervals for the Difference of Two Population Means: Independent Samples, with Unknown Population Standard Deviations that are Not Assumed to be Equal
    • 5.4: Confidence Intervals for the Difference of Two Population Means: Dependent (Paired) Samples, with Known Population Standard Deviation
    • 5.5: Confidence Intervals for the Difference of Two Population Means: Dependent (Paired) Samples, with Unknown Population Standard Deviation
    • 5.6: Confidence Intervals for the Difference of Two Population Proportions

  • Chapter 6: Two-Sample Inference: Hypothesis Tests
    • 6.1: Hypothesis Tests for the Difference of Two Population Means: Independent Samples, with Known Population Standard Deviations
    • 6.2: Hypothesis Tests for the Difference of Two Population Means: Independent Samples, with Unknown Population Standard Deviations that are Assumed to be Equal
    • 6.3: Hypothesis Tests for the Difference of Two Population Means: Independent Samples, with Unknown Population Standard Deviations that are Not Assumed to be Equal
    • 6.4: Hypothesis Tests for the Difference of Two Population Means: Dependent (Paired) Samples, with Known Population Standard Deviation
    • 6.5: Hypothesis Tests for the Difference of Two Population Means: Dependent (Paired) Samples, with Unknown Population Standard Deviation
    • 6.6: Hypothesis Tests for the Difference of Two Population Proportions

  • Chapter 7: Multiple Sample Inference
    • 7.1: One-Way ANOVA
    • 7.2: ANOVA for a Randomized Complete Block Design
    • 7.3: Two-Way ANOVA

  • Chapter 8: Inference Using the Chi-Square Distribution
    • 8.1: Goodness of Fit
    • 8.2: Independence
    • 8.3: Homogeneity

Questions Available within WebAssign

Most questions from this textbook are available in WebAssign. The online questions are identical to the textbook questions except for minor wording changes necessary for Web use. Whenever possible, variables, numbers, or words have been randomized so that each student receives a unique version of the question. This list is updated nightly.

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Group Quantity Questions
Chapter 1: Describing Data
1 0  
Chapter 2: Numerical Measures for One Variable
2 0  
Chapter 3: Correlation and Regression
3 0  
Chapter 4: One-Sample Inference
4 0  
Chapter 5: Two-Sample Inference: Confidence Intervals
5 0  
Chapter 6: Two-Sample Inference: Hypothesis Tests
6 0  
Chapter 7: Multiple Sample Inference
7 0  
Chapter 8: Inference Using the Chi-Square Distribution
8 0  
 Chapter 9
9 0  
 Chapter 10
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Total 0