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ICGB · Question #155

A 1-Sample t-test is used to compare an expected population Mean to a target.

The correct answer is A. True. A is correct because the 1-Sample t-test is specifically designed to compare a single sample's mean against a known or hypothesized population value (the "target"), determining whether the observed sample mean differs significantly from that target. B is incorrect - there is no…

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Question

A 1-Sample t-test is used to compare an expected population Mean to a target.

Options

  • ATrue
  • BFalse

How the community answered

(38 responses)
  • A
    74% (28)
  • B
    26% (10)

Explanation

A is correct because the 1-Sample t-test is specifically designed to compare a single sample's mean against a known or hypothesized population value (the "target"), determining whether the observed sample mean differs significantly from that target.

B is incorrect - there is no distractor here beyond the false assertion itself; the statement in the question is a straightforward, accurate definition of the 1-Sample t-test's purpose.

Memory tip: Think "1 sample, 1 target" - the test has one group being measured against one fixed reference point. If you're comparing two samples to each other, that's a 2-Sample t-test; if you're comparing related pairs, that's a paired t-test. The "1-Sample" name literally tells you there's only one group, which means you must be comparing it to a predetermined value, not to another group.

Topics

#1-sample t-test#hypothesis testing#population mean#inferential statistics

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