Unit 1 Review

Sampling

100

What are the three types of non-probability samples?

Convenience Sampling

Voluntary Response Sampling

Judgment Sampling

200

What are the 5 types of probability samples?

Simple Random Sample (SRS)

Equal Probability Systematic Random Sampling 

Stratified Simple Random Sampling 

Cluster Sampling

Multistage Simple Random Sampling 

300

True or false: A probability sampling plan entails everyone in a population having a calculated, specified chance of being apart of a sample?

True.

400

What is the difference between a voluntary sample and a convenience sample?

In a voluntary sample, people volunteer to be apart of it. In a convenience sample, you gather participants for the sake of them being made available.

500

What is the difference between a stratified sample and a cluster sample?

A stratified sample uses comparisons between subgroups called, "strata", whereas a cluster simply puts participants into clusters and then compares the clusters to each other.

Calculations, etc.

100

What is the size of a sample with a margin of error of 18%?

+/- 30%

200

What is the Margin of Error for a sample of 532?

+/- 4.3%

300

A statistic is to a _________, as a _____________ is to a population.

sample; parameter

400

What is the relationship between margin of error, sample size, and confidence intervals?

The smaller the MoE, the greater the sample size, the smaller the confidence intervals.

500

Slytherin House and Gryffindor House, respectively, have a final House Cup percentage score of 181 and 176, with a margin of error of +/- 5% for each House. Is this a statistical tie?

Yes.

Distributions

100

How much data falls within +2 standard deviations in a normal distribution?

47.5%

200

How much data falls within +/- 1 standard deviation of the mean in a normal distribution?

68%

300

The larger the sample, the __________ the prediction of the true population characteristics.

closer

400

True or False: The following is a proper representation of a confidence statement.

"We are 95% confident that between 87% and 16% of all penguins who like ice will vote to make ice the currency of Antarctica. However, it is too close to conclude if the voting would go this way."

False.

500

What is the difference between bias and precision?

Bias – the extent to which a parameter estimate (statistic) is systematically too high or too low in repeated sampling   

Precision – the extent to which there is little variability in a parameter estimate (statistic) from sample to sample