Why can we never accept the null hypothesis? [2 sentences]
Accepting null hypothesis means we are sure that null hypothesis is true. But we cannot we sure. We are deciding only on the basis of sample data. So we always say that we are fail to reject the null hypothesis on the basis of sample evidence.
On the basis of sample information, we either "accept the null hypothesis" or "reject the null hypothesis." True O False
True or false. If the p-value is 6%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 10% but not at a significance level of 5%. True or false?
When can you "accept" the null hypothesis to be true? When you are writing the interpretation for a hypothesis test about the population mean and state that there is not enough evidence... Why or What do you use to make that determination? When you are writing the interpretation for a hypothesis test about two population means and your claim is the null hypothesis, do you state to support or reject the claim? Given the following interpretation, discuss what next steps...
8. A very small p-value indicates that: a. we should accept the alternative hypothesis. b. we should reject the null hypothesis and the alternative hypothesis. c. we should reject the null hypothesis. d. we should not reject the null hypothesis.
The power of a test is the probability that we _____ the null hypothesis when the alternative hypothesis is _____. ? A) reject, true B) accept, true C) accept, false D) reject, false (IT IS NOT D)
If we reject a null hypothesis, should we state that we have proved the alternative hypothesis to be true? Briefly explain why or why not.
What does it mean to accept the null hypothesis? Give an example.
Assuming σ-4 and n-4, what percent of the time will you: 1. accept the null hypothesis when it is true? 2. reject the null hypothesis when it is true? 3. demonstrate 1 & 2 on a normal curve a. Suppose the μυ5hypothesis whenit is fals a percent ofthe time will you: b. 1. accept the null hypothesis when it is false?
1. a What is a hypothesis test? What is it used for? How are the null and alternative hypothesis determined? . What are the 3 ways to set up hypotheses? C. Why can't we "accept” a null hypothesis? d. How do we determine if we reject or fail to reject a nuil hypothesis? e. What are the key pieces needed when writing a conclusion? f. Describe the difference between statistically significant and practically significant.
1) We can view the US justice system as a hypothesis test. Take the null hypothesis to be that the defendant is innocent and the alternative hypothesis to be that the defendant is guilty. In words state what a type 1 error and what a type 2 error would be (a) Type 1 (.25 points) (b) Type 2 (.25 points)