# JMP Statistics 1st edition

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• Chapter 1: Describing Data
• 1.1: Describing One Nominal Variable (5)
• 1.2: Describing One Continuous Variable (4)

• Chapter 2: Numerical Measures for One Variable
• 2.1: Measures of Center (4)
• 2.2: Measures of Variation (4)
• 2.3: Measures of Position (8)

• Chapter 3: Correlation and Regression
• 3.1: Scatter Plots (2)
• 3.2: Correlation (4)
• 3.3: Linear Regression (8)
• 3.4: Nonlinear Relationships

• Chapter 4: One-Sample Inference
• 4.1: One-sample Confidence Intervals for a Population Mean (6)
• 4.2: One-sample Confidence Intervals for a Population Proportion (4)
• 4.3: One-sample Hypothesis Tests for a Population Mean (6)
• 4.4: One-sample Hypothesis Tests for a Population Proportion (6)

• 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 (2)
• 5.2: Confidence Intervals for the Difference of Two Population Means: Independent Samples, with Unknown Population Standard Deviations that are Assumed to be Equal (2)
• 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 (2)
• 5.4: Confidence Intervals for the Difference of Two Population Means: Dependent (Paired) Samples, with Known Population Standard Deviation (2)
• 5.5: Confidence Intervals for the Difference of Two Population Means: Dependent (Paired) Samples, with Unknown Population Standard Deviation (2)
• 5.6: Confidence Intervals for the Difference of Two Population Proportions (2)

• 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 (2)
• 6.2: Hypothesis Tests for the Difference of Two Population Means: Independent Samples, with Unknown Population Standard Deviations that are Assumed to be Equal (2)
• 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 (2)
• 6.4: Hypothesis Tests for the Difference of Two Population Means: Dependent (Paired) Samples, with Known Population Standard Deviation (2)
• 6.5: Hypothesis Tests for the Difference of Two Population Means: Dependent (Paired) Samples, with Unknown Population Standard Deviation (2)
• 6.6: Hypothesis Tests for the Difference of Two Population Proportions (2)

• Chapter 7: Multiple Sample Inference
• 7.1: One-Way ANOVA (2)
• 7.2: ANOVA for a Randomized Complete Block Design (2)
• 7.3: Two-Way ANOVA (2)

• Chapter 8: Inference Using the Chi-Square Distribution
• 8.1: Goodness of Fit (2)
• 8.2: Independence (2)
• 8.3: Homogeneity (2)

JMP statistical discovery software from SAS is the tool of choice for scientists, engineers and other data explorers in almost every industry and government sector. WebAssign's JMP Statistics Question Bank presents real life examples using the JMP interactive applet to display the data. Students then use the applet to answer a series of questions. This question bank covers most introductory statistics topics and features simulations, solutions and question feedback.

##### Question Availability Color Key
BLACK questions are available now
GRAY questions are under development

Group Quantity Questions
Chapter 1: Describing Data
1.1 5 001 002 003 004 005
1.2 4 001 002 003 004
Chapter 2: Numerical Measures for One Variable
2.1 4 001 002 003 004
2.2 4 001 002 003 004
2.3 8 001 002 003 004 005 006 007 008
Chapter 3: Correlation and Regression
3.1 2 001 002
3.2 4 001 002 003 004
3.3 8 001 002 003 004 005 006 007 008
Chapter 4: One-Sample Inference
4.1 6 001 002 003 004 005 006
4.2 4 001 002 003 004
4.3 6 001 002 003 004 005 006
4.4 6 001 002 003 004 005 006
Chapter 5: Two-Sample Inference: Confidence Intervals
5.1 2 001 002
5.2 2 001 002
5.3 2 001 002
5.4 2 001 002
5.5 2 001 002
5.6 2 001 002
Chapter 6: Two-Sample Inference: Hypothesis Tests
6.1 2 001 002
6.2 2 001 002
6.3 2 001 002
6.4 2 001 002
6.5 2 001 002
6.6 2 001 002
Chapter 7: Multiple Sample Inference
7.1 2 001 002
7.2 2 001 002
7.3 2 001 002
Chapter 8: Inference Using the Chi-Square Distribution
8.1 2 001 002
8.2 2 001 002
8.3 2 001 002
Chapter 9
9 0
Chapter 10
10 0
Total 97