Chapter 9: Sampling Distributions
Outline
AP Statistics
Mrs. Harrison
Essential Questions:
1. What is the difference between a parameter and a statistic? Why is this field of study called
“Statistics”?
2. What does “sampling variability” mean and why is it an issue?
3. How is the size of a sample related to its variability?
4. Under what conditions is the sampling distribution of 𝑝̂ approximately normal?
5. Why is the Central Limit Theorem so important to statisticians?
Knowledge: You should be able to define, illustrate, or calculate the following:
 Parameter
 Variability
 Statistic
 Unbiased statistic
 Sampling variability
 𝑝̂
 Central Limit Theorem
 Sampling distribution
 Bias
Skills:
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You should be able to…
Distinguish between statistics and parameters
Describe bias and variability of statistics
Tell what makes a statistic unbiased
Explain how sample size affects variability
Be able to recognize and use formulas for mean and standard deviation of the sampling distributions
for sample means and sample proportions
State when the sampling distribution of a sample proportion will be approximately normal
Know the Central Limit Theorem and its applications
Use a normal distribution to find probabilities associated with a sampling distribution
Describe sampling distributions according to their shape, center, and spread
Calendar:
Monday
19
Tuesday
20
Wednesday
21/22
Friday
23
9.1 Sampling
Distributions
26
2
27
9.2 Sampling distribution
of 𝑝̂
Sample Proportions
Practice WKST
3
Chapter 9 Quiz
Chapter 9 Review
Finish 9.1
Practice Problems
28/29
30
9.3 Sampling distribution
of 𝑥̅
Penny Lab
4/5
Review for 15 minutes
Chapter 9 Test
6