When interpreting data, a marketing manager should know that

A) Quantitative survey responses are valid, but qualitative research may not be valid.

B) Recognize that outliers are routinely wrong and should be ignored and discarded.

C) Leave it to the technical specialists to draw the correct conclusions.

D) Be satisfied with the sample used as long as it is large.

E) Realize that statistical summaries from a sample may not be precise for the whole population.

Question

Business

Ellis Ferrell

22 November, 14:30

When interpreting data, a marketing manager should know that

A) Quantitative survey responses are valid, but qualitative research may not be valid.

B) Recognize that outliers are routinely wrong and should be ignored and discarded.

C) Leave it to the technical specialists to draw the correct conclusions.

D) Be satisfied with the sample used as long as it is large.

E) Realize that statistical summaries from a sample may not be precise for the whole population.

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Answers (1)

Know the Answer?

David Joyce · Answer 1

Answer: Option (E)

Explanation:

From the give options, we can state that while interpreting data, marketing managers should be able to recognize the fact that the statistical summaries derived from a sample might not be exactly precise for whole population. Sample, usually tend to state the fact that a researcher has selected group of subject from a general population and thus is recognized to be a representative of population for that study. This still does not emphasize on the fact, that preferences still tend to deviate from individual to individual or sample to sample.