Assertion (A): A result found in one sample may not hold exactly for the whole population.
Reason (R): Different samples from the same population give different values of a statistic.

Both A and R are true, and R is the correct explanation of A.Correct answerYour answerBoth A and R are true, but R is not the correct explanation of A.Correct answerYour answerA is true, but R is false.Correct answerYour answerA is false, but R is true.Correct answerYour answer

Show the answer and explanation

CorrectNot quiteAnswer A

Correct answer: A

Both are true: a sample is only part of the population.
Because a statistic varies from sample to sample, the one sample in hand may sit above or below the truth; that is why A holds. R explains A.

Concept: The limits of generalising from a sample
Typical timeTypical: 90 s
Your timeYours: —

The rule this testsParameters, statistics and the central limit theorem

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Ten questions from Sampling, Inference & the t-Test, at your own pace.

Assertion (A): A result found in one sample may not hold exactly for the whole population.Reason (R): Different samples from the same population give different values of a statistic.

Explanation

Assertion (A): A result found in one sample may not hold exactly for the whole population.
Reason (R): Different samples from the same population give different values of a statistic.