Chapter 9 Test -Sampling Methods for Statistics Chapter Exam

Which of the following conditions must be met for a sample to be a stratified random sample?

• The strata must occur naturally.

• It must include all members of a population.

• Each group must be equally separated.

• The strata must have a crossover.

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CCSS.HSS.IC.B.3

When selecting strata groups, it is recommended you have:

• Between 6 and 8 strata.

• No more than 4 to 6 strata.

• Less than 3 strata.

• More than 7 strata.

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CCSS.HSS.IC.B.3

Which type of random sampling divides members of a population into homogeneous subgroups?

• Simple random sampling

• Cluster random sampling

• Systematic random sampling

• Stratified random sampling

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CCSS.HSS.IC.B.3

_____ is a sampling method where different groups within a population are used as a sample.

• Simple random sampling

• Systematic sampling

• Cluster sampling

• Random sampling

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CCSS.HSS.IC.B.3

How do cluster sampling and stratified random sampling differ?

• Cluster sampling allows groups to mix together, but stratified random sampling does not.

• In cluster sampling, the sample must match the proportion of the groups in the population, but in stratified random sampling this is not necessary.

• Stratified random sampling requires selection from each group proportional to their share of the population, but cluster sampling does not.

• Stratified random sampling allows groups to mix together, but cluster sampling does not.

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CCSS.HSS.IC.B.3

When members belong to multiple groups in the population this is called _____. Cluster sampling _____ have this.

• crossover; can

• crossover; cannot

• stratification; can

• stratification; cannot

According to the central limit theorem, if multiple independent variables have the same relative effect on an outcome, what is the result of summing those variables?

• The sum is proportional to the number of variables

• The sums will fall within 2 standard deviations of the mean

• The sums will be normally distributed

• All of the sums cancel, which results in a small random pattern

Based on the central limit theorem application, which of the following statistical processes would not become easier to describe or analyze?

• Risk analysis

• The use of confidence intervals

• Hypothesis testing

• Relative variable importance

What is the distribution pattern of data that the central limit theorem makes use of?

• A normal distribution

• A logarithmic distribution

• A hyperbolic distribution

• An exponential distribution

To use systematic random sampling, you must first create a list of your population, and then:

• Put all names in a hat

• Select a beginning number

• Select an interval

• Create a list of employees

• Gather a list of your sample

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CCSS.HSS.IC.B.3