A Null Hypothesis Is Stated

question 30

Multiple Choice

A null hypothesis is stated. The null hypothesis is, "There is no difference between one baby aspirin every day and no baby aspirin at all in prevention of myocardial infarction." What are the implications of this statement, concerning the null hypothesis and Type II error?

• A)Accepting the null hypothesis when it actually is true means that the researcher has made a Type II error in concluding that there is no difference between one baby aspirin every day and no baby aspirin in the prevention of myocardial infarction.
• B)Making the statement is itself a Type II error.
• C)Whether the null hypothesis is true or not makes no difference in terms of Type II error.
• D)Whether or not the researcher rejects the null hypothesis makes no difference, in terms of Type II error.
• E)Accepting the null hypothesis when it actually is true means that the researcher concludes that there is no difference between one baby aspirin and no baby aspirin every day in the prevention of myocardial infarction, and there is no error.
• F)Accepting the null hypothesis when it actually is false means that the researcher concludes that there is no difference between one baby aspirin and no baby aspirin every day in the prevention of myocardial infarction, when there actually is a difference. The researcher has therefore made a Type II error.

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Definitions:

Set of Data

An assembly of quantitative or qualitative values gathered for analysis or observation.

Median

The middle value in a data set, which divides the set into two equal halves.

Mean

The arithmetic average of a set of numbers, found by dividing the sum of all values by the number of values.

Mean

The mean of a collection of numbers, determined by summing up all the numbers and then dividing by the total number of values.