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True or False



This activity contains 13 questions.

Question 1.
One should reach the same conclusions in the conduct of a hypothesis test, regardless of whether one is using the critical-value approach, or the p-Value approach to hypothesis testing.


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Question 2.
The risk of committing a Type I error is higher when the level of significance selected is 0.01, compared to a level of significance of 0.05.


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Question 3.
When the sample size is increased, the statistical power of the hypothesis test (1.00 minus Beta) also increases.


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Question 4.
If the null hypothesis is rejected, then one can conclude that the alternative hypothesis is supported by the observed findings.


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Question 5.
Alpha is the probability of committing a Type I error.


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Question 6.
If the level of significance is chosen to be 5% and the p-value for the hypothesis test is 0.044, then the null hypothesis should be rejected.


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Question 7.
The power of a test is the probability of rejecting the Null Hypothesis when the Null Hypothesis is really true.


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Question 8.
The larger the difference between the actual value of the population mean and the value hypothesized, the larger beta will be.


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Question 9.
For a given level of significance, if the sample size is increased, the power of the test will decrease.


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Question 10.
For a given level of significance, if the sample size is increased, the probability of committing a Type II error will increase.


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Question 11.
The value that separates a rejection region from a nonrejection region is called the p-value.


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Question 12.
The Z test statistic is a numerical quantity computed from the data of a sample and the hypothesized population parameter, and is used in reaching a decision on whether or not to reject the null hypothesis.


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Question 13.
In testing a hypothesis, the collection and examination of the data should precede the formulation of statements for the null and alternative hypotheses.


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