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Sampling Distribution Review

Authored by Barbara White

Mathematics

11th Grade - University

Sampling Distribution Review
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22 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

A company has 500 employees and wants to evaluate a proportion using the distribution of sample proportions and normal curve. Under which circumstance will they be able to do this?

n = 80, p = .2

n = 40, p = .2

n = 40, p = .9

n = 30, p = .4

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. Which of the following is true?

 78% is a population and 72% is a sample.
72% is a population and 78% is a sample
78% is a parameter and 72% is a statistic
72% is a parameter and 78% is a statistic

3.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Five estimators for a parameter are being evaluated. The true value of the parameter is 0. Simulations of 100 random samples, each of size n, are drawn from the population. For each simulated sample, the five estimates are computed. The histograms below display the simulated sampling distributions for the five estimators. Which simulated sampling distribution is associated with the best estimator for this parameter?

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4.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

Suppose we select an SRS of size n = 100 from a large population having proportion p of successes. Let p̂ be the proportion of successes in the sample. For which value of p would it be safe to use the Normal approximation to the sampling distribution of p̂?

0.01

0.09

0.85

0.978

0.999

5.

MULTIPLE CHOICE QUESTION

5 mins • 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. 

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

In one region of the country, the mean length of stay in hospitals is 5.5 days with standard deviation 2.6 days. Because many patients stay in the hospital for considerably more days, the distribution of length of stay is strongly skewed to the right. Consider random samples of size 100 taken from the distribution with the mean length of stay, x, recorded for each sample. Which of the following is the best description of the sampling distribution of x ?

Strongly skewed to the right with mean 5.5 days and standard deviation 2.6 days

Strongly skewed to the right with mean 5.5 days and standard deviation 0.26 day

Strongly skewed to the right with mean 5.5 days and standard deviation 0.026 day

Approximately normal with mean 5.5 days and standard deviation 2.6 days

Approximately normal with mean 5.5 days and standard deviation 0.26 day

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following pairs of sample size n and population proportion p would produce the greatest standard deviation for the sampling distribution of a sample proportion p?

n = 1,000 and p close to 0

n = 1,000 and p close to 1

n = 1,000 and p close to 1/2

n = 100 and p close to 0

n = 100 and p close to 1/2

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