Imagine that at the moment you are not able to reject the null hypothesis. What could be the solution? Give at least two options.
i) We can increase the sample size. Thus it may help to reject the null hypothesis.
ii) We can increase the significance level, therefore it may help in rejecting the null hypothesis, as the p-value remains the same but the significance level has increased.
Imagine that at the moment you are not able to reject the null hypothesis. What could...
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If you are able to reject a null hypothesis at the a = .10 level, then you know for sure that you will also be able to reject the same null hypothesis when a = (select all that apply) 0.005 0.01 0.05 none of these
What can you conclude if we fail to reject the null hypothesis for two individual variables, but reject the null hypothesis for the two joint variables?
Consider the following claims a) and b): 1) If you reject the null hypothesis? If you fail to reject the null hypothesis For each of the claims a) and b), how should you interpret your decision 2) If you reject the null hypothesis? 3) If you fail to reject the null hypothesis?
What can be concluded by failing to reject the null hypothesis? A. either that the null hypothesis is correct or that the test procedure is not strong enough (i.e. that the sample size is not large enough) to reject the null hypothesis B. that the null hypothesis is correct, therefore the alternative hypothesis should be rejected C. that the function of the alternative hypothesis is incorrect D. that the alternative hypothesis is correct, therefore the null hypothesis should be rejected
Was wondering if why one would reject the null hypothesis in
this situation could be explained, thanks!
You are testing the null hypothesis µ=150 versus the two tailed alternative. You reject the null hypothesis in favor of the alternative hypothesis. If in reality, µ does equal 150, you have made a : A. Correct Decision B. Type II Error C. Type I Error
You are only willing to reject the null hypothesis if you achieve 95% confidence or better. Consider the following information: Họ : 4 = 10 t = 2.102 n=1001 Select the appropriate conclusion below. Hint: you'll need to find the critical value for t using a t-table Do not reject the Null Hypothesis Reject the Null Hypothesis You are only willing to reject the null hypothesis if you achieve 95% confidence or better. Consider the following information: H : 7...
When testing the null hypothesis of no negative autocorrelation, you reject the null hypothesis if a. the Durbin-Watson statistic is greater than 4-dL b. the Durbin-Watson statistic is less than 4-dU c. the Durbin-Watson statistic is less than 4-dL d. the Durbin-Watson statistic is between 4-dU and 4-dL
If we want to be able to reject our null hypothesis, we want our t statistic to be ___ our critical value. a) smaller than b) further from the mean than c) equal to d) closer to the mean than
Suppose in a hypothesis test you fail to reject the null hypothesis at the 5% significance level. Which one of the following statements is true in light of this information?