Standard error = Standard deviation / sqrt(n)
So,
By moving from two tailed to one tailed, does not affect on standard error quantity.
Statement is False
The standard error changes as we move from a two-tailed hypothesis test to a one-tailed test. O True O False
Question 8 3 pts The standard error changes as we move from a two-tailed hypothesis test to a one-tailed test. O True O False
The Critical Value changes as we move from a two-tailed hypothesis test to a one-tailed test. Group of answer choices True False
Question 4 3 pts The Critical Value changes as we move from a two-tailed hypothes is test to a one-tailed test True False Question 5 3 pts In reference to a Confidence Interval, which are true All the answers are correct The larger the level of alpha, the smaller the Bound of Error (BOE) The larger the level of alpha, the larger the Confidence Coefficient The larger the level of alpha, the larger the standard deviation Question 8 3 pts...
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
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
Please help with these 4 questions Check True/False: Q1- [0.5 point] A one-tail hypothesis test is used whenever the alternative hypothesis is express as = O True O False Q2-10.5 point) A two-tail hypothesis test is used when the alternative hypothesis is stated as or > with the rejection area on the same side as the inequality points. O True O False Q3- [0.5 point] If the p-value is greater than a, we do not reject the null hypothesis. Otherwise,...
If n<30, we cannot perform a hypothesis test for Ho:p = 0.5. O True O False
He uses a two-tailed hypothesis test when the null hypothesis is similar to the following: H0: x bar = 100. Select one: True False
True or false? please explain The results from an independent-measures t hypothesis test are reported as "t(14) .05, two tailed." For this test, the null hypothesis was rejected 2.10, p a) True b) False
1. Regarding a two-tailed z-test with an alpha of 0.05, we would need a Zobt with an absolute value less than 1.96 in order to reject the null hypothesis. True or False? 2. What happens to the probability of committing a Type I error if the level of significance is changed from α = 0.05 to α = 0.01? A. It increases B. It decreases C. It stays the same D. Cannot determine 3. Given a Zobt of -1.99 ,...