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tyty93 tyty93
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6 years ago
A researcher wishes to sample from a population in which two important segments make up less than 2 of the population, but wishes to develop confidence intervals describing their behaviors. Which type of sampling is most appropriate?
 a. Stratified sampling
  b. Convenience sampling
  c. Systematic sampling
  d. Simple random sampling
  e. Judgment sampling

Question 2

The advantages of stratified over simple random sampling include stratified sampling:
 a. ensures adequate representation from each stratum of interest.
  b. can produce more precise sample statistics.
  c. allows for the comparison of variables between strata.
  d. Both b and c.
  e. All of the above.

Question 3

A researcher divides the population of the purchasers of Brand X into heavy and light users. He then chooses a random sample independently from each group. This is an example of ____ sampling.
 a. nonprobability
  b. random
  c. judgmental
  d. stratified
  e. quota

Question 4

Which of the following is FALSE with regard to stratified sampling?
 a. A stratified random sample is drawn by dividing the parent population into mutually exclusive and exhaustive subsets and by then taking a random sample of these subsets.
  b. The basic rule by which we stratify suggests the resulting strata should be as homogeneous as possible.
  c. When sampling from a population that is highly skewed, a stratified sample generally provides the most representative sample.
  d. A market researcher needs information about parts of the population, as well as the total population. He should therefore plan on using a stratified random sample.
  e. Stratified samples are more statistically efficient than simple random samples.

Question 5

Which of the following is needed before a confidence interval can be established for a population mean?
 a. A confidence level
  b. A point estimate of the population mean
  c. An estimate of the sampling error associated with the sample mean
  d. All of the above.
  e. Both a and b.

Question 6

For simple random sampling, the mean of all possible sample means is equal to the population mean when which of the following conditions is true. Choose the best possible answer.
 a. Sampling is with replacement.
  b. Sampling is without replacement.
  c. Sampling is from an infinite population.
  d. Sampling is from a finite population.
  e. Sampling is with or without replacement and from an infinite or finite population.
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Kim12345678900Kim12345678900
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6 years ago
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tyty93 Author
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6 years ago
Great answers, all of them were right
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