Unit 4
Inference for Quantitative Data: Means
The same inference logic as Unit 3, now for means, with t-distributions in place of z.
Topics
- 4.1Sampling Distributions for Sample Means
- 4.2Constructing a Confidence Interval for a Population Mean or Population Mean Difference
- 4.3Justifying a Claim Based on a Confidence Interval for a Population Mean or Population Mean Difference
- 4.4Setting Up a Test for a Population Mean or Population Mean Difference
- 4.5Carrying Out a Test for a Population Mean or Population Mean Difference
- 4.6Sampling Distributions for the Difference Between Two Sample Means
- 4.7Constructing a Confidence Interval for the Difference Between Two Population Means
- 4.8Justifying a Claim Based on a Confidence Interval for the Difference Between Two Population Means
- 4.9Setting Up a Test for the Difference Between Two Population Means
- 4.10Carrying Out a Test for the Difference Between Two Population Means
Labs for this unit
- Topics 2.12 to 4.1 Sampling Distribution Machine Draw thousands of samples from a skewed population and watch the distribution of sample means turn normal.
- Topics 3.3 to 4.8 Confidence Interval Capture Build a hundred confidence intervals and count how many catch the true value. That count is what confidence means.