Chapter 4 Syllabus - AP Statistics - B

Sampling and Experimentation NAME:

Designing Studies

Chapter Objective: Students will learn appropriate ways to produce data. This includes planning and conducting

research as well as collecting data from a study before performing a statistical analysis with the

gathered information.

Day 1
10/8
TOPICS:
▪Explanatory vs. Response Variables
▪Scatterplots:
Form, Direction, & Strength
▪Calculating & Interpreting Correlation
▪LSRL
▪ Interpreting Slope and y intercept
▪ Residuals and Residual plots
▪Coefficient of Determination / Chapter 3 Review – QUIZ TODAY!!!
Chapter 3 Project Due: ___Oct. 12th___
3.1 – Scatterplots and Correlation
3.2 – Least Squares Regression
  1. Concepts and Skills to Master: ►Identify explanatory and response variables in bivariate situations►Construct and interpret a scatterplot►Calculate and interpret correlation►Identify outliers and explain their effects on correlation►Identify, calculate, and construct the equation of a least-squares regression line►Interpret the slope and y intercept of a least-squares regression line ►Calculate and interpret residuals ►Construct and interpret residual plots ►Explain the dangers of extrapolation ►Use the least-squares regression line to predict values of the response variable ►Use the standard deviation of the residuals and r2 to determine how well the line model fits the data
  2. Assignments
  1. Anscombe’s Data Exploration
  2. Quiz 3.2A and Quiz 3.2C
  3. Chapter 3 Content Q & A
  4. Chapter 3 Quiz
  1. Homework
  1. Read section 4.1 and complete Reading Guide 4.1

Day 2
10/10
TOPICS:
▪The idea of a sample survey
▪How to sample badly
▪How to sample well
▪Random Sampling
▪Other Sampling Methods
▪Inference for sampling
▪Sample surveys: What can go wrong? / Chapter 4 Intro Activity
4.1 – Sampling and Surveys
  1. Concepts and Skills to Master: ►Identify the population and sample in a sample survey ►Identify voluntary response samples and convenience samples ►Know how bad sampling methods can lead to bias ►Distinguish a simple random sample from a random sample or cluster sample and give advantages and disadvantages of each sampling method ►Describe how to use Table D to select a simple random sample (SRS) ►Explain how undercoverage, nonresponse, and question wording can lead to bias in a sample survey
  1. Assignments
  1. Warm Up
  2. 4.1 Guided Notes
  3. Random Number Technology Lab
  4. 4.1 Multiple Choice and Free Response handout
III. Homework
A. Chapter 4 After you Read: Concepts 1 and 2 (handout 65-67)
  1. Textbook: page 230 #37-43
  2. Complete Chapter 3 Project

Day 3
10/12 / Chapter 3 Project Due
3.1 & 3.2 Review (Scatterplots, Correlation, Least-Squares Regression)
  1. Concepts and Skills to Master: See Day 1 (other side) and Chapter 3 Syllabus
  2. Assignments
  1. Warm Up
  2. Homework Q & A
  3. Chapter 3 - Technology Tips for TI
  4. Group Work - Review Assignment – Chapter 3
  1. Homework
  1. Study for Chapter 3 Test (Includes Chapters 1 – 3)
  2. Gallup Poll Worksheet: due October 18th

Day 4
10/16 / TEST
CHAPTERS 1-3 TEST
HOMEWORK: Read section 4.2 and complete Reading guide section 4.2
Complete Gallup Poll Activity – due next class
Day 5
Day 6
10/18
10/22
TOPICS:
▪Observation-al Study vs. Experiment
▪How to experiment badly
▪How to experiment well
▪Experiment-al Design Principles
▪Inference
▪Blocking
▪Experiments: What can go wrong?
▪Matched Pairs Design / 4.1 – Sampling and Surveys (Lesson Recap)
4.2 – Experiments
  1. Concepts and Skills to Master: ►Distinguish between and observational study and experiment►Explain lurking variables can lead to confounding►Identify the components of an experiment►Describe a completely randomized design for an experiment►Describe how to avoid the placebo effect in an experiment ►Distinguish between a completely randomized design and a randomized block design ►Understand the importance of the three principles of experimental design ►Define in context “statistically significant” ►Know when a matched pairs experiment is appropriate and how to implement such a design
  1. Assignments
  1. Warm Up
  2. 4.1 Guided Notes Review
  3. Chapter 4 Practice
  4. Classwork: After You Read: Concepts 1, 2, and 3 (handout 69-72)
  5. Activity – Experiment Title: Distracted Driving
  6. Template for Analyzing Experiments (Day 6)
III. Homework
A. Chapter 4 – Strive for 5 MC Practice and FRQ
  1. Read 4.1 and 4.2 Textbook summaries (p.225, p.252)

Day 7
10/24 / ASSIGNMENTS: CHAPTER 4 Review for QUIZ
Cholesterol Activity (Randomized Design vs. Matched Pairs)
Activity Response Bias Group Project p.267 – DUE: TBA
Discuss Template for Analyzing Experiments
Classwork/Homework: Complete 4.1 and 4.2 Practice Quiz handout
Homework: Study for Quiz
Day 8
10/25
QUIZ / CHAPTER 4 QUIZ
CLASSWORK/HOMEWORK: CW: Extra Credit Points (Chapters 3 and 4 Crossword Puzzles)
HW: Response Bias Project

***END OF QUARTER 1***

CHAPTER 4 BIG IDEA & ESSENTIAL QUESTIONS

Enduring understanding (Big Idea): Students will understand relationships between two variables including how to describe, analyze, model, and use them. Also that association does not necessarily mean causation. Moreover, for linear relationships how to make predictions and determine what can be explained.
Essential Questions:
  1. Why must data be collected according to a well-developed plan and how does that affect the validity of information for a conjecture?
  2. Why must this plan include clarifying the question and deciding upon a method of data collection and analysis?
  3. How can we fairly represent a group, so that we can draw conclusions from data drawn from a sample of that group?
  4. What is the difference between random selection and random assignment, how are each used and to what purpose?
/
  1. Why are Control, Randomization and Replication important in designing and implementing an experiment
  2. What are the differences between observational studies and experiments?
  3. What is required to establish a causation relationship?
  4. When there are known sources of systematic variation, how can we design experiments to reduce variation in the results?
  5. When should we Block or use Matched Pairs?
  6. What is the difference between clusters, strata, and block?

CHAPTER 4 VOCABULARY & OBJECTIVES

Students will know:
Sampling and Experimentation: Planning and conducting a study
A. Methods of data collection
B. How to plan and conduct surveys:
C. How to plan and conduct experiments
D.Generalizability of resultsand types of conclusionsthat can be drawn from observational studies, experiments and surveys
Vocabulary:Bias, Blocking, Causation (Cause and Effect), Cluster, Cluster Sample, Completely Randomized Design, Confounding, Control, Convenience Sample, Data Ethics, Double-blind, Experiment, Experimental Units, Lurking Variable (Other Variable), Matched pairs design, Nonresponse, Observational Study, Placebo, Placebo effect, Population, Random Assignment, Randomized block design, Replication, Sample, Simple Random Sample (SRS), Statistically significant, Strata, Stratified Random Sample, Subjects, Table of Random Digits, Treatment, Undercoverage, Voluntary Response Sample / Students will be able to…
  1. identify: populations, samples, voluntary response samples, convenience samples, simple random sample, stratified random sample, cluster sample
  2. use a random number table to select a simple random sample
  3. avoid bias particularly from undercoverage, nonresponse, and wording
  4. distinguished between observational studies and experiments
  5. understand confounding blocking, matched pairs, statistically significant
  6. identify experimental units, subjects, factors, treatments
  7. understand the importance of random assignments of treatments
  8. describe a completely randomized design for an experiment
  9. distinguish between completely randomized design and a randomized block design