
AP Stat Sampling Distribution
Authored by Anthony Clark
Mathematics
12th Grade
Used 1+ times

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15 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
28% of all Woodrow students believe Monday will be snow day. You take a sample of 50 students and find that 15 of them believe Monday will be a snow day. What does 50 represent?
n
P
phat
standard deviation
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
At a particular college, 78% of all students are receiving some kind of financial aid.The school newspaper selects a random sample of 100 students and 72% of the respondents say they are receiving some sort of financial aid. What is the mean and standard deviation of the population distribution?
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The following graphs show the sampling distributions for two different point estimators, R and W, of the same population parameter. Which of the following statements is true?
Both R and W are unbiased.
R is biased, and W is unbiased
Both R and W are biased.
R is unbiased, and W is biased.
The assessment of bias is not possible, because the sampling distributions display too much variability.
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What word best describes this definition: a numerical value that is calculated from a sample. Mean or average from the sample, denoted x̄ (x-bar).
Population
Sample
Parameter
Statistic
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A statistic is biased if...
the value of the statistic from any sample is NOT equal to the parameter
The value of the statistic from any sample IS equal to the parameter
The mean of the sampling distribution is NOT equal to the true value of the parameter
The mean of the sampling distribution IS equal to the value of the parameter
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What happens to the shape of a sampling distribution of sample means as n increases?
It becomes narrower and bimodal.
It becomes narrower and more normal.
It becomes wider and skewed right.
It becomes wider and more normal.
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Describe the shape of the distribution.
Skewed Left
Skewed Right
Symmetric
Uniform
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