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Material for Exam 1
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Jan 13 |
Section 0: Introduction |
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Chapter 1 |
Examining distributions |
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Jan 15 and 20 |
Section 1.1: Displaying distributions with graphs |
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Jan 20 and 22 |
Section 1.2: Describing distributions with numbers |
Notes and graphs for 1.2
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Jan 27 and Jan 29 |
Section 1.3: The Normal Distribution |
Examples and graphs for 1.3
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Feb 5 |
Section 2.1: Examining relationships: Scatterplots |
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Feb 10 |
Section 2.2: Measuring the strength of linear relationships: Correlation |
Examples and graphs for 2.2
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Feb 10 and Feb 12 |
Section 2.3: Least Squares Regression |
Examples and graphs for 2.3
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Feb 17 |
Section 2.4: Cautions about Correlation and Regression |
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Material for Exam 2
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Feb 24 |
Section 3.3: Towards Statistical Inference |
Examples and discussion for 3.3
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Feb 26 |
Sampling Distributions |
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Mar 3 |
Section 4.4: Sampling Distributions and the Central Limit Theorem (CLT) |
Examples and discussion for 4.4 Sampling Distribution Worksheet
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Mar 10, 12 and 24 |
Section 6.1: Confidence Intervals |
Examples and discussion for 6.1 Practice problems for confidence intervals Worksheet/activity for confidence intervals Additional practice problems for confidence intervals
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Mar 26, 31 |
Section 6.2: Tests of Significance |
Examples and discussion for 6.2
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Apr 7 |
Section 6.2: Statistical vs. practical importance |
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Material before the Final Exam
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April 14 |
Section 7.1: Inference for population means with unknown standard deviation |
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April 21 |
Section 8.1: Inference for population proportions |
Examples and discussion for 8.1
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April 23, 28 |
Section 10.1: Inference for simple linear regression |