He uses a two-tailed hypothesis test when the null hypothesis is similar to the following: H0: x bar = 100.
Select one: True False
Given statement, " He uses a two-tailed hypothesis test when the null hypothesis is similar to the following: H0: x bar = 100." is False
Because, in hypothesis testing we test population parameter.
Correct null hypothesis should be,
True
A two-tailed hypothesis test is used when the alternative hypothesis suggests that the true population parameter could be either greater than or less than the null hypothesis value. For example, if the null hypothesis is that the mean of a population is 100, the two-tailed alternative hypothesis would be that the mean is not equal to 100, meaning it could be either higher or lower. In contrast, a one-tailed test would only test for one direction, either greater than or less than, depending on the alternative hypothesis.
Therefore, the statement "He uses a two-tailed hypothesis test when the null hypothesis is similar to the following: H0: x bar = 100" is true. When testing a hypothesis with the null hypothesis stating a specific value, a two-tailed test is appropriate because the alternative hypothesis would be that the population parameter is not equal to that specific value. This approach allows for the possibility of both higher and lower values, and results in a test that is more robust and less prone to errors.
He uses a two-tailed hypothesis test when the null hypothesis is similar to the following: H0:...
All things being equal, when we have a two-tailed Alternative Hypothesis test it is easier to reject the Null Hypothesis (when compared to a one-tailed test). True False
Compared to a two-tailed hypothesis test, a one-tailed test is more likely to detect a: Group of answer choices true null hypothesis in the direction of concern false null hypothesis in the direction of concern false null hypothesis true null hypothesis
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1. What are null hypothesis and alternative hypothesis? 2. Inastatisticaltest,wehavethechoiceofatwo-tailedtest,aleft- tailed test, or a right-tailed test. Which hypothesis is the determining factor for choosing the direction of the test? (In other words, how would you decide it) 3. Forthesamesampledataandnullhypothesis,howdoesthe P-value for a two-tailed test compare to that for a one-tailed test? 4. Using P-value method, how would you reject or fail to reject the null hypothesis? (what is the decision criteria?) How does level of significance matter to the hypothesis...
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