STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following describes a Type II error in this setting?
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Concluding that the students are less fit (on average) than the general population when in fact they have equal fitness on average.
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Not concluding that the students are less fit (on average) as the general population when in fact they are less fit (on average).
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Not concluding that the students are less fit (on average) as the general population when in fact they have the same fitness (on average).
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Concluding that the students are less fit (on average) than the general population, when, in fact, they are less fit (on average).
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Concluding that the students have the same fitness (on average) when in fact they are more fit (on average).
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Explanation:
Detailed explanation-1: -A type II error produces a false negative, also known as an error of omission. For example, a test for a disease may report a negative result when the patient is infected. This is a type II error because we accept the conclusion of the test as negative, even though it is incorrect.
Detailed explanation-2: -Which of the following is an accurate definition of a Type II error? Failing to reject a false null hypothesis. Which of the following is a fundamental difference between the t statistic and a z-score? The t statistic uses the sample variance in place of the population variance.
There is 1 question to complete.