Asked by Kirtley Pemberton on May 12, 2024
Verified
Until there is sufficient evidence otherwise,it must be assumed that ______.
A) both the null and alternative hypotheses are true
B) the alternative hypothesis is true
C) neither the null nor alternative hypotheses are true
D) the null hypothesis is true
Null Hypothesis
A statement suggesting that no statistical significance exists in a set of observations.
Alternative Hypothesis
A statement that contradicts the null hypothesis and indicates that there is an effect or a difference.
- Master the concept of hypothesis testing, focusing on the function of the null hypothesis.
Verified Answer
JB
Jolonnie BirdenMay 13, 2024
Final Answer :
D
Explanation :
The null hypothesis is the default assumption that we make in statistical testing. It is assumed to be true until we have sufficient evidence to reject it in favor of the alternative hypothesis. Therefore, until there is sufficient evidence otherwise, it must be assumed that the null hypothesis is true.
Learning Objectives
- Master the concept of hypothesis testing, focusing on the function of the null hypothesis.
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