The ___________ of a statistic is the distribution of values taken by the statistic in all possible samples of the sample size from the population.

• Sample Distribution

• Normal Distribution

• Unnatural Distribution

• Standard Normal Distribution

You should always use " The Distribution of________" when talking about the sampling distribution.

• True

• False

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

Sampling Distributions are the foundations for Statistical Inference.

• True

• False

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.3

CCSS.HSS.IC.B.4

We can use the population to make inferences about the statistic.

• True

• False

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

• A sampling procedure is ________ if it tends to systematically over-represent certain segments of the population and systematically under-represent others.

• biased

• unbiased

• normal

• variable

Tags

CCSS.HSS.IC.B.3

Bias concerns the shape of the sampling distribution.

• True

• False

The sampling distribution of any statistic will have less variability when the sample size is ____________.

• smaller

• larger

• zero

• constant

Increasing the sample size will result in...

• high variability

• more precision

• less precision

• high bias

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

Variability concerns the shape of the graph

• True

• False

A statistic used to estimate a parameter is an ____________ if the mean of its sampling distribution is equal to the value of the parameter being estimated.

• unbiased estiamtor

• biased estimator

• highly variable

• less variable

Tags

CCSS.HSS.IC.A.1