Review of the normal distribution with quantitative data via warmup. Combining normal random variables, and the distribution of the sample mean when the population is normal. The distribution of the sample mean when the population is not normal - The Central Limit Theorem - via experiment/exploration.

Class notes.

Read Chapter 18 (pp 419 - 430.)

Do pp 434 - 437: 27, 30, 33, 37, 47.

Warmup. Confidence Interval for the mean - using the normal distribution. What to do when the distribution is not normal and we don't know the population standard deviation? The t-distribution. Properties of the t-distribution and degrees of freedom. Using the t-distribution table to find critical values. Creating a confidence interval.

Class notes.

Read Chapter 23 (pp 530 - 536.)

Do pp 554 - 555: 1ab, 2ab, 3, 5, 9, 17.

Assumptions and conditions for using the t-distribution. Recap of boxplots and histograms. Using assumptions while creating a confidence interval. Using the calculator.

Class notes.

Read Chapter 23 (pp 537 - 542.)

Do pp 555 - 558: 11, 19, 31, 35.

Hypothesis Test for a mean via an experiment. Using the calculator

Class notes.

Finish reading Chapter 23 (pp 542 - 547.)

Do pp 555 - 558: 25, 29, 30, 37.

Comparing the means from two independent samples. Confidence interval for the difference between two means.

Class notes.

Quiz Chapter 23 next class.

Read Chapter 24 (pp 560 - 568.)

Do pp 579 - 581: 1, 3, 5, 12, 13.

Quiz on Chapter 23. Warmup on two sample confidence intervals. Hypothesis test for two independent means via worksheet.

Class notes.

Read Chapter 24 (pp 569 - 573.)

Do pp 581 - 585: 15, 20, 21, 23, 31.

Warmup. Paired t-test via experiment. Recap of blocking and before/after experiments.

Class notes.

Read Chapter 25 (pp 587 - 599.)

Do pp 602 - 605: 1, 7, 9, 15, 19.

Finish practice test and study for Unit 6 Test.

Solutions to practice test.