Sampling Distributions
What is a sampling distribution?
A distribution of data from a single sample.
A distribution of a statistic from all possible samples of the same size from a population.
The same as the population distribution.
A distribution of individual data points within a population.
What is the mean of the sampling distribution of the sample proportion?
The sample proportion.
The population proportion.
The square root of the population proportion.
The inverse of the population proportion.
A polling agency plans to ask a random sample of 500 registered voters who they plan to vote for in an upcoming election. The population proportion is unknown. If the true population proportion of voters favoring a particular candidate is 0.5, what is the standard deviation of the sampling distribution of the sample pr...
0.0005
0.022
0.0007
0.05
A researcher wants to estimate the proportion of adults who support a new law. They plan to take a simple random sample. How does increasing the sample size affect the spread of the sampling distribution of the sample proportion?
Increasing the sample size increases the spread.
Increasing the sample size decreases the spread.
Increasing the sample size has no effect on the spread.
Increasing the sample size doubles the spread.
Which condition is essential to ensure that a sample is representative of the population when constructing a sampling distribution of proportions?
The sample must be large.
The sample must be randomly selected.
The population must be normally distributed.
The population must be small.
A survey is being conducted at a large university with 20,000 students to estimate the proportion of students who support a new campus policy. A simple random sample of 1,000 students is selected. Which condition needs to be checked to ensure the independence of observations in the sample?
The sample size is less than 30.
The population is at least 10 times larger than the sample size.
The population is normally distributed.
The sample is representative of the population.
A researcher plans to survey a random sample of 500 adults to estimate the proportion who have been vaccinated against the flu. Prior studies suggest the proportion is around 40%. Is the large counts condition satisfied?
Yes, because .
No, because the population size is unknown.
Yes, because and .
No, because is less than 0.5.

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What is the mean of the sampling distribution of sample means?
The sample mean.
The population mean.
The square root of the population mean.
The inverse of the population mean.
A population has a standard deviation of 15. A researcher takes a random sample of size 25 from this population. What is the standard deviation of the sampling distribution of the sample mean?
15
3
0.6
5
A researcher is studying the average height of trees in a forest. They plan to take a random sample of trees. How does increasing the sample size affect the standard deviation of the sampling distribution of the sample mean?
Increasing the sample size increases the standard deviation.
Increasing the sample size decreases the standard deviation.
Increasing the sample size has no effect on the standard deviation.
Increasing the sample size doubles the standard deviation.