Answer - False
Based on sample information, It is not right we accept or reject the null hypothesis. If the P value is greater, it is not rejected.
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On the basis of sample information, we either "accept the null hypothesis" or "reject the null...
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?
A type I error is where we reject a true null hypothesis (Ho). a. True b. False A type II error is where we fail to reject a false null hypothesis (Ho). a. True b. False A claim may go in either in the Ho (null hypothesis) or Ha (H1, alternate hypothesis) depending on the key words in the statistical word problem. a. True b. False
1. When we reject the null hypothesis, we are saying that… we have proven the alternative hypothesis to be true we have proven the null hypothesis to be false our sample is too unlikely to have been produced by the null distribution our sample had a mean approximately the same as the population our sample had a standard deviation smaller than the population
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)
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
Please explain it with proper reasoning. 3. The following statements are very important. Give them some careful thought and discuss them (a) When we fail to reject the null hypothesis, we do not claim that it is abso- lutely true. We simply claim that at the given level of significance, the data were not sufficient to reject the null hypothesis (b) When we accept the alternate hypothesis, we do not claim that the null hypothesis is absolutely false. We do...
A Type II error occurs in hypothesis testing when we _____________________________. fail to reject the null hypothesis and the null hypothesis is not true reject the null hypothesis and the null hypothesis is true fail to reject the alternative hypothesis and the alternative hypothesis is not true reject the alternative hypothesis and the alternative hypothesis is true
If we reject the null hypothesis, we conclude that: there is enough statistical evidence to infer that the alternative hypothesis is true. there is not enough statistical evidence to infer that the alternative hypothesis is true. there is enough statistical evidence to infer that the null hypothesis is true. there is not enough statistical evidence to infer that the null hypothesis is true.
11. If we reject the null hypothesis, what can we conclude, subject to the probability, α? Multiple Choice Reject the null with a probability, α, of making a Type I error. The alternative hypothesis is false. The null hypothesis is true. Both the null hypothesis and the alternative hypothesis are true. 12. The average cost of tuition and room and board at a small private liberal arts college is reported to be $8,500 per term. A financial administrator believes that...
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.