Ch 18: Sampling Distributions #1

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

• The Population
• The Sample
• The Sampling Distribution

Tags

CCSS.HSS.IC.B.4

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.3

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

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 happens to the shape of a sampling distribution of sample means as "n" increases?

• It becomes narrower and less normal
• It becomes narrower and more normal.
• It becomes wider and more normal 
• It becomes wider and less normal. 

A statistic is unbiased 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 value of the population mean

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

CCSS.HSS.MD.A.2

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 28 represent? 

• P
• phat
• standard deviation
• n

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

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? 

• n
• P
• phat
• standard deviation

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

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

Why do we randomly select our samples?

• for control
• reduce bias
• so we don't get the same answers from everyone
• to eliminate confounding results

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.3

If you had to choose a "best statistic" to describe a population, which of the following would be best.

• low bias, high variability
• high bias, high variability
• low bias, low variability
• high bias, low variability

Tags

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.3