
AP Stat Confidence Intervals Proportions
Authored by Barbara White
Mathematics
11th - 12th Grade

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10 questions
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1.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
A 95% confidence interval for p, the proportion of all shoppers at a large grocery store who purchase cookies, was found to be (0.236, 0.282).
The point estimate and margin or error for this interval are:
.236 and .282
.236 and .046
unknown and .023
.259 and .046
.259 and .023
2.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
A 95% confidence interval for p, the proportion of all shoppers at a large grocery store who purchase cookies, was found to be (0.236, 0.282).
Which of the following is a correct statement?
About 95% of the shoppers have between a 23.6% and a 28.2% chance of purchasing cookies.
There is a 95% probability that the sample proportion lies between 0.236 and 0.282.
If a second sample was taken, there is a 95% chance that its confidence interval would contain
0.25.
This confidence interval indicates that more than 25% of shoppers buy cookies.
We are reasonably certain the true proportion of shoppers who purchase cookies is between
24% and 28%.
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
A 95% confidence interval for p, the proportion of all shoppers at a large grocery store who purchase cookies, was found to be (0.236, 0.282).
Which of the following would be true about a 98% confidence interval constructed using the same data?
The interval would be wider, because the standard error would be larger.
The interval would be narrower, because the standard error would be smaller.
The interval would be wider, because the critical z* would be larger.
The interval would be narrower, because the critical z* would smaller.
The interval would be about the same width, because the standard error would be smaller, but
the critical z* would be larger.
4.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
An SRS of 50 students at a large middle school are asked, “Do you have a television in your bedroom? Twenty-eight of the students responded “yes.”
If ƥ = the proportion of students who answered “yes,” what is the standard error of ƥ ?
.005
.010
.070
.106
can't be calculated unless we know standard deviation
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
The college newspaper of a large Midwestern university periodically conducts a survey of students on campus to determine the attitude on campus concerning issues of interest. Pictures of the students interviewed along with quotes of their responses are printed in the paper. Students are interviewed by a reporter “roaming” the campus selecting students to interview “haphazardly.” On a particular day the reporter interviews five students and asks them if they feel there is adequate student parking on campus. Four of the students say, “no.” Which of the following conditions for inference about a proportion using a confidence interval are violated in this example?
I. The data are an SRS from the population of interest.
II. The population is at least ten times as large as the sample.
III. np̂ ≥ 10 and n(1− p̂) ≥10 .
I
II
II
I and III
All 3 conditions are violated
6.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
6. You want to estimate the proportion of students who meet the state standards on the SAT with a 90% confidence interval. You don’t have a sample proportion to use yet. If you want the margin of error to be no more than 10%, you will need a minimum sample size of approximately
148
125
68
25
5
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
The government claims that 88% of students work during their summer break from college. A random sample of 500 students gave a proportion of 80% and a 95% confidence interval of (.76, .83). Which of the following is a correct interpretation of the 95% level?
If the study was repeated many times, there is a 95% probability that the true proportion of student that work over the summer is not as the government claims.
Because 88% is not in our interval, there is a 95% probability that the true proportion of student that work over the summer is not as the government claims.
If the study was repeated many times, then about 95% of the confidence intervals will contain the true proportion of students that work over the summer college break.
There is a 95% probability that the true proportion of student that work over the summer is between .76 and 83.
If the study was repeated many times, then about 95% of the confidence intervals will contain
.88.
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