AP Statistics T Intervals

Quiz
•
Mathematics
•
12th Grade
•
Hard
Anthony Clark
FREE Resource
15 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The heights of 5-year old boys are approximately normal. The mean height of a random sample of 37 5-year old boys is found to be 30 inches with a standard deviation of 3 inches. What is the standard error of x̄?
.493
1.32
5.77
1.96
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Scores on the mathematics part of the SAT exam in a recent year were roughly Normal with mean 515 and standard deviation 114. You choose an SRS of 100 students and average their SAT Math scores. Suppose that you do this many, many times. Which of the following are the mean and standard deviation of the sampling distribution of x̄ ?
Mean = 515; SD = 114
Mean = 515; SD = 114/√100
Mean = 515/100; SD = 114/√100
Mean = 515/100; SD = 114/100
Mean = 515/100; SD = 114/√100
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following would not decrease the width of a confidence interval?
I only
II only
III only
I and II only
II and III only
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What does this symbol represent?
population proportion
parameter
sample proportion
population sample
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The 90% interval for a statistics test was given by 72 +- 7. What is the lower bound for the interval?
7
72
65
79
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A survey of a random sample of 2500 adults who have a credit card found that 570 had a balance of $1000 or more on their credit card.
What would NOT be a condition we need to verify before constructing the interval?
np̂ ≥ 10 and n(1-p̂) ≥ 10
n ≥ 30
10% condition
random sample
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Why is it important to check the 10% condition before calculating probabilities involving x̄?
To reduce the variability of the sampling distribution of x̄
To ensure that the distribution of x̄ is approximately Normal
To ensure that we can generalize the results to a larger population
To ensure that x̄ will be an unbiased estimator of μ.
To ensure that the observations in the sample are close to independent.
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