AP Statistics Chapter 4 Agenda – Designing Studies Day Topics Objectives: Students will be able to… Homework 1 Chapter 3 Lab: Driving Lab: U.S. States I can use simulations to generate data Reading: Intro. pp. Strive: p. 63-67 Textbook Problems: p. 279: AP1: #17 AND p. 230 #44 2 Section 4.1 Introduction Sampling and Surveys, How to Sample Badly Choosing an SRS using an Applet or I can identify the population and sample in a sample survey. I can identify voluntary response samples and convenience samples. I can explain how these bad sampling methods can lead to bias. Textbook Problems: 1, 3, 5, 7, 8, 9 3 Section 4.1 How to Sample Well: Random Samples Other Sampling Methods I can describe how to use Table D to select a simple random sample (SRS). I can distinguish a simple random sample from a stratified random sample. I can give advantages and disadvantages of each sampling method. Textbook Problems: 11, 13, 17, 19, p. 278 AP1.15 4 Section 4.1 Inference for Sampling Sample Surveys: What Can Go Wrong? I can identify a cluster or multi-stage sample and distinguish them from simple random or stratified samples I can identify a systematic sample. I can explain how under coverage, nonresponse, and question wording can lead to bias in a sample survey. Textbook Problems: 21, 25, 27, 31, 35 5 Conclusion of Section 4.1: Free Response Practice (FRAPPY) I can completely and correctly respond to a Free Response Question Reading: pp. 231-236 Strive: p. 63-67
Textbook Problems: 28, 33, 34, 6 Section 4.2 Studies vs. The Language of How to Badly I can distinguish between an observational study and an experiment. I can explain how a lurking variable in an observational study can lead to confounding. I can identify the experimental units or subjects, explanatory variables (factors), treatments, and response variables in an experiment. Reading: pp. 236-242 Strive: pp. 68-72 Textbook Problems: 45, 47, 49, 51, 53 7 Section 4.2 How to Well Three Principles of Design I can describe a completely randomized design for an experiment. I can explain why random assignment is an important experimental design principle. Reading: pp. 242-252 Textbook Problems: 57, 64, 65, 67 8 Section 4.2 What Can Go Wrong? Inference for I can describe how to avoid the placebo effect in an experiment. I can explain the meaning and the purpose of blinding in an experiment. I can explain in context what “statistically significant” means. Textbook Problems: 69, 71, 73, 75* (*We will analyze this data again in an Activity in chapter 10) 9 Section 4.2 Blocking Matched Pairs Design I can distinguish between a completely randomized design and a randomized block design. I can know when a matched experimental design is appropriate and how to implement such a design. Textbook Problems: 77, 79, 81, 85, 10 Section 4.3 Scope of Inference the of Causation I can determine the scope of inference for a statistical study. I can evaluate whether a statistical study has been carried out in an ethical manner. Reading: pp. 261-268 Strive: pp. 73-74 Textbook Problems: 91-98, 102-108 11 Conclusion of Section 4.1: Free I can completely and correctly respond to a Free Response Question Textbook Problems:
Response Practice (FRAPPY) 55, 83, 87, 89 12 Chapter 4 Review Summary of all ‘I can’ statements and concepts All HW problems should be finished prior to test Strive Book Chapter 4 should be completed to test Strive: Complete checklist in Strive book Practice MC & FR problems Crossword Puzzle for Vocab 13 Chapter 4 Test & Chapter 4 HW Journal is due!!