7.1 Sampling Distributions

Each month, the Current Population Survey interviews a random sample of individuals in about 60,000 U.S. households. One of their goals is to estimate the national unemployment rate. In October 2012, 7.9% of those interviewed were unemployed. 7.9% is a

• Parameter

• Statistic

• Sample

• Population

A random sample of female college students has a mean height of 64.5 inches, which is greater than the 63 inch mean height of all adult American women. 64.5 inches is a

• Sample

• Population

• Statistic

• Parameter

A random sample of female college students has a mean height of 64.5 inches, which is greater than the 63 inch mean height of all adult American women. 63 inches is a

• Sample

• Population

• Statistic

• Parameter

A statistic is a unbiased estimator if the mean of its sampling distribution is equal to the true value of the parameter.

• True

• False

Taking a larger sample will reduce variability.

• True

• False

Taking a larger sample will reduce bias.

• True

• False

These symbols represent the mean and standard deviation for which of the following distributions?

• The Population
• The Sample
• The Sampling Distribution

Tags

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.4

What is the variability of a statistic?

• the mean of the sampling distribution
• the mean of the population distribution
• the spread of the population distribution
• the spread of the sampling distribution

The sampling distribution of a statistic is...

• Using repeated samples and finding a probabilitity
• The distribution of values taken by a statistic in all possible samples of the same sample size from the same population
• The way that sample results differe from each other
• the distribution of values in a sample of size n

Tags

CCSS.HSS.MD.A.1

CCSS.HSS.MD.A.3

A statistic is biased if...

• the value of the statistic from any sample is NOT equal to the parameter

• The value of the statistic from any sample IS equal to the parameter

• The mean of the sampling distribution is NOT equal to the true value of the parameter

• The mean of the sampling distribution IS equal to the true value of the parameter.