AP Stat

AP Stat Unit 6: Applied Inference

Chapters 11 – 14

These four chapters form the payoff for all the groundwork we laid previously. We now make more realistic assumptions (such as assuming the population standard deviation to be unknown) and perform hypothesis tests as they are actually done. The four chapters all ask the same big question: is there sufficient evidence to reject H_o? In the chapters we will look at sample means, sample proportions, distributions, and linear regression (the association between two variables). In each case, we will continue to use the basic logic of inference as developed in chapters 9 and 10. Several new calculator screens will be introduced to facilitate computation.

Date	Topic	Section	Reading	Problems
3/1	Discuss Unit 5 test
3/2	Chapter 11: Inference for means Inference for mean: The t distribution	11.1.1	586-589	1-5
3/5	The t confidence intervals and t tests	11.1.2	592-596	6-10
3/6	Matched pairs t procedures	11.1.3	598-604	12-14
3/7	Assumptions of t procedures; Power of t test	11.1.4	605-611	15 – 19
3/8	Work day		612-613	22, 27, 29, 30
3/9	Comparing two populations	11.2.1	617-627	33-35
3/12	Doing two-sample t tests on the TI Doing two-sample confidence intervals on the TI	11.2.2	629-631	37-39
3/13	Chapter 12: Inference for proportion Estimating one population proportion	12.1.1	660-668	5-8
3/14	Minimum sample size needed Doing one-proportion z tests on the TI Doing one-proportion confidence intervals on the TI	12.1.2	669-674	10, 11, 13, 14, 15
3/15	Two-sample proportions Doing two-proportion z tests on the TI Doing two-proportion confidence intervals on the TI	12.2.1	678-689	21-24
3/16	Work day		689, 694	27, 31, 34, 35, 39
3/19	Chapter 13: Inference for distributions The Great M&M’s Mystery!	13.1.1	700-701	Activity 13 #2 - 5
3/20	The Chi-square distribution Comparing Distributions	13.1.2	702-709	1-4
3/21	CAHSEE testing: no meeting			No assignment
3/22	Inference by simulation	13.1.3	711-715	6, 7
3/23	Comparing proportions for multiple populations	13.2.1	717-728	13, 15 plus: Re-do class ex. on TI
3/26	Testing Associations between Categorical Variables	13.2.2	730-735	20, 22 Construct a die
3/27	Home-made dice day!		740-741	Ch 13 Rev: Choose 3
3/28	Chapter 14: Inference for regression Estimating linear regression parameters	14.1.1	752-760	1-3
3/29	Confidence interval for regression slope Testing the hypothesis of no linear relationship Doing linear regression t test on the TI	14.1.2	762-767	7, 9
3/30	Checking regression assumptions	14.3.1	774-777	13, 14
4/2	Work day: prepare for test	Starters		Prep for test
4/3	Unit 6 review	Review
4/4	Unit 6 Test
4/5	Unit 6 test review; Assign semester project			Project Description
4/6	TBA