Mr. Rogers - AP Statistics Objectives
Syllabus 1st Quarter 2nd Quarter 3rd Quarter 4th Quarter
1 Distributions 2 N-Distribution 3 Regression 4 NL Regression 5 Data
Unit Plan Practice Test

AP Statistics Standards

II. Sampling and Experimentation: Planning and conducting a study (10% –15%)

A. Overview of methods of data collection

  1. Census
  2. Sample survey
  3. Experiment
  4. Observational study

B. Planning and conducting surveys

  1. Characteristics of a well-designed and well-conducted survey
  2. Populations, samples, and random selection
  3. Sources of bias in sampling and surveys
  4. Sampling methods, including simple random sampling, stratified random sampling, and cluster sampling

C. Planning and conducting experiments

  1. Characteristics of a well-designed and well-conducted experiment
  2. Treatments, control groups, experimental units, random assignments, and replication
  3. Sources of bias and confounding, including placebo effect and blinding
  4. Completely randomized design
  5. Randomized block design, including matched pairs design

D. Generalizability of results from observational studies, experimental studies, and surveys

Objectives

Essential Question: Can bad data be corrected with good statistical analysis?

Chapter 5 : Producing Data

Designing Samples

  1. Distinguish between population and samples and tell which one forms the basis of statistics.
  2. Define bias (p248).
  3. Define voluntary response and convenience sampling. Explain why they invariably produces biased results.
  4. Identify when confounding is present.
  5. Explain why confounding and bias make statistical inference impossible. (Inference implies that there is no other reasonable explanation for the data.
  6. State the key difference between a statistical study and a non-statistical study.
  7. State the two basic forms of statistical studies.
    • Observational / Survey
    • Experiment
  1. Describe an SRS and state what it seeks to eliminate. (With a sample size of n, every set of n individuals has an equal chance of being chosen.)
  2. State how an SRS is formed.
  • Label
  • Table
  1. Use a table of random digits to create an SRS.
  2. State the problem which the magic word "randomization" solves.
  3. State the primary weakness of an SRS.
    • Variability from study to study

Homefun : prob. 5.1, 5.3, 5.7

 

Activities

 
Lesson 1
Key Concept: Designing systematic, statistically sound ways to collect data
Purpose:

Interactive Discussion: Objectives

Seat Work: generate random numbers using a random number table.

Essential Question: What is the difference between preventing variability and preventing bias in a statistical study?
  1. Describe the key method for preventing variability in observational studies and surveys.
  2. Describe how a multistage sample design is used for preventing variability.
  3. Describe 4 ways to do a perfectly good job of sampling and still get worthless results (p. 257).
    • Under coverage - Leaving groups out of the sample selection process
    • Non response - Mr. Rogers Syndrome
    • Response Bias - a) Intimidating interviewer b) Intimidating question
    • Wording Effects - Asking the wrong question or biasing the result.

Homefun: 5.11, 5.12, 5.15, 5.20, 5.23

 

Lesson 2
Key Concept: Variability and bias--surveys
Purpose: How to prevent the above in surveys

Interactive Discussion: Objectives

Group  Work: Correctly design a survey for Southside high

 

Essential Question: Why are experiments considered more convincing  than observational studies?

Experiments

  1. Correctly use the following terms:
    • Experimental unit/subject
    • Treatment
    • Factor/level
    • Placebo effect
    • Control group
    • Completely randomized design
  1. State the magic word which is used in all experiments and state why and how it is used
  2. Explain the conditions which make an effect statistically significant (p. 276).
  3. Be as one with the three basic principles of experimental design.
  • Control - effects of lurking variables
  • Randomization - prevents sampling bias
  • Replication - collect numerous data points
  1. Describe how double blind testing is used.
  2. Discuss the ethical considerations of double blind testing.
  3. Correctly use blocking in an experimental design.
  4. Explain why blocking reduces study to study variability.
  5. State the problem that blocking does not solve.
  6. Set up matched pairs designs.

Homefun: 5.31, 5.38, 5.41, 5.47

 

Lesson 3
Key Concept: Variability and bias--experiments
Purpose: How to prevent the above in experiments.

Interactive Discussion: Objectives

Group  Work: Correctly design an experiment for the AP test fish tank example.

 
Mr

 

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