Free Printable Sampling Distributions of Proportions

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Sampling Distributions of Proportions

Total questions: 15

Worksheet time: 12mins

Name

Class

Date

The Gallup Poll asked a random sample of 1785 adults whether they attended church during the past week. Let p-hat be the proportion of people in the sample who attended church. A newspaper report claims that 40% of all U.S. adults went to church last week. Suppose this claim is true.
What is the mean of the sampling distribution of p-hat?

0.4

0.44

0.56

0.6

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?

phat

standard deviation

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.

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

Suppose we have a population that is 49% male. If we take a random sample from that population and determine the percent of our sample that is male, we refer to this proportion as...

p-hat

the sample mean

the sampling distribution

When sampling from a population with proportion p, the distribution of sample proportions (p-hat) will vary. What will be the mean of all possible sample proportions?

$\sqrt{\frac{p\left(1-p\right)}{n}}$

$\mu$

$\sigma$

When sampling from a population with proportion p, the sample outcomes will vary. Which of the following represents the standard deviation of the sampling distribution?

$\sqrt{\frac{p\left(1-p\right)}{n}}$

$\mu$

$\sigma$

An independent research company wants to go door to door to survey people in the city of Fontana. The company decides to number all blocks within the city limit, randomly choose 50 blocks and survey all households on each selected block.
This is an example of:

Simple Random Sample

Stratified Random Sample

Cluster Random Sample

Systematic Random Sampling

Disneyland often surveys its guests as they exit a restaurant during their visit. The surveyor stands at the restaurant exit, counts the number of people leaving, and surveys every 25th guest.
This is a form of:

Simple Random Sample

Stratified Random Sample

Voluntary Response

Systematic Random Sampling

10.

A sample is taken of 200 people. The number of people who own a dog was 80.
What is the sample proportion?

0.8

0.4

35%

11.

30% of all dogs in a city are micro-chipped. In a sample of 500 dogs, what is the probability that less than 140 dogs are micro-chipped? Select the closest option.

0.25

0.21

0.17

0.13

12.

What does this symbol represent?

standard error

standard deviation of the sample proportions

standard deviation of a parameter

standard deviation of the population

13.

What does the 10% condition do

Calculates Standard Deviation

Checks if the samples are independent

Checks Normality

Calculates Probabilities

14.

What does this formula do?

Calculates Standard Deviation

Checks if the samples are independent

Checks Normality

Calculates Probabilities

15.

A statistic is an unbiased estimator of a parameter when

in many samples, the values of the statistic are centered at the parameter

in many samples, the values of the statistic are close to the parameter

the statistic is calculated from a random sample.

in a single sample, the value of the statistic is equal to the parameter

100 %

Sampling Distributions of Proportions

Total questions: 15

Worksheet time: 12mins

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