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Liberty University Online Academy BMAL 590 Section 5: Introduction To Hypothesis Testing 1)The hypothesis of most interest to the researcher is Type I error occurs when we reject a false null hypothesis
Liberty University Online Academy
BMAL 590
Section 5: Introduction To Hypothesis Testing
1)The hypothesis of most interest to the researcher is
- Type I error occurs when we reject a false null hypothesis.
- A Type II error is defined as rejecting a true null hypothesis.
- Which of the following probabilities is equal to the significance level α?
- If we reject the null hypothesis, we conclude that
- Statisticians can translate p-values into several descriptive terms. Suppose you typically reject H0 at level 0.05. Which of the following statements is correct?
If the p-value < 0.01, there is overwhelming evidence to infer that the alternative hypothesis is true.
If 0.01 < p-value < 0.05, there is evidence to infer that the alternative hypothesis is true.
If p-value > 0.10, there is no evidence to infer that the alternative hypothesis is true.
All of these choices are true.
- The p-value of a test is the
.
- The numerical quantity computed from the data that is used in deciding whether to reject H0 is the
- For a given level of significance, if the sample size increases, the probability of a Type II error will
- The power of a test is measured by its capability of
- If the probability of committing a Type I error for a given test is decreased, then for a fixed sample size n, the probability of committing a Type II error will
- Which of the following is a rule violation in hypothesis testing?
- The hypothesis of most interest to the researcher is
- A Type I error occurs when we_
- Statisticians can translate p-values into several descriptive terms. Suppose you typically reject H0 at level 0.05. Which of the following statements is incorrect?
- In a criminal trial where the null hypothesis states that the defendant is innocent, a Type I error is made when
- To take advantage of the information of a test result using the rejection region method and make a better decision on the basis of the amount of statistical evidence we can analyze the
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