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AP Stats Chapter 7
Name____________________________
Reading the text will be important in this chapter.
Topics
Ch 7 Intro,
7.1 Parameters and
Statistics
pg. 413-417
7.1 Sampling
Variability,
Describing Sampling
Distributions
pg. 417-428
Learning Targets

Distinguish between a parameter
and a statistic.
Pg. 428 (1, 3,
5, 7)

Understand the definition of a
sampling distribution.
Distinguish between population
distribution, sampling distribution,
and the distribution of sample data.
Determine whether a statistic is an
unbiased estimator of a population
parameter.
Understand the relationship
between sample size and the
variability of an estimator.
Find the mean and standard
deviation of the sampling
distribution of a sample proportion
p for an SRS of size n from a
population having proportion p of
successes.
Check whether the 10% and
Normal conditions are met in a
given setting.
Use Normal approximation to
calculate probabilities involving p.
Use the sampling distribution of p
to evaluate a claim about a
population proportion.
Find the mean and standard
deviation of the sampling
distribution of a sample mean 𝑥̅
from an SRS of size n.
Calculate probabilities involving a
sample mean 𝑥̅ when the
population distribution is Normal.
Explain how the shape of the
sampling distribution of 𝑥̅ is
related to the shape of the
population distribution.
Use the central limit theorem to
help find probabilities involving a
sample mean 𝑥̅ .
Pg. 429 (9, 11,
13, 17-20)



7.2 The Sampling
Distribution of p,
Using the Normal
Approximation for p
pg. 432-439




7.3 The Sampling
Distribution of 𝑥̅ :
Mean and Standard
Deviation, Sampling
from a Normal
Population
pg. 442-448
7.3 The Central
Limit Theorem
pg. 449-454
Homework




Pg. 430 (2124)
Pg. 439 (27,
29, 33, 35, 37,
41)
Pg. 441 (4346)
Pg. 454 (49,
51, 53, 55)
Pg. 455 (57,
59, 61, 63, 6568)
Homework
due
Chapter 7 Review
Chapter 7
Review
Chapter 7 Test
AP Free Response
1998 #1
sampling dist of the sample mean, effect of sample size on shape
2004B #3
normal probability calculation, interpretation for the sample mean
2006 #3
normal and binomial, probability calculation for sample mean
2007 #3
sampling dist of the sample mean, prob calculation for sample mean,
and Central Limit Theorem
2007B #2
Addition rule, binomial, sampling distribution of sample mean
2008B #2
Properties of estimators; bias and variability
2009 #2
Inverse Normal calculation, binomial, prob calculation for sample mean
2010 #2
Sampling dist of the sample mean, prob calculation for a total
Websites
www.rossmanchance.com/applets
Reese’s Pieces applet…changing sample size and proportion of successes to see affect on
sampling distribution
www.whfreeman.com/tps43/
Normal Approx to Binomial applet (Normal approx. gets better as sample size increases
and proportion of successes gets closer to 0.5 and farther from 0 and 1)
www.rossmanchance.com/applets
Sampling Pennies applet investigates how changing the sample size affects the sampling
distribution of the sample mean when sampling form a skewed population
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