What is the difference between setting the alpha value equal to 0.05 and the alpha value equal to 0.01 in hypothesis tests?a.with α=0.05, one is less willing to risk type I error.b.with α=0.05, one is more willing to risk type I error.c.with α=0.05, one is more willing to risk type II error.d.α=0.05 or α=0.01 is generally decided as the last step in hypothesis test depending upon the test result.

What does it mean if a researcher sets his/her alpha at say .01, and rejects the null hypothesis? How does this differ from setting the alpha at .05 and rejecting the null? In which case is the researcher going to be most likely to reject the null hypothesis?

When the alpha level is set at .05, this means that: there is a 5 percent chance of accepting a true null hypothesis there is a 5 percent chance of rejecting a true null hypothesis there is a 10 percent chance of rejecting a false null hypothesis there is a 5 percent chance of accepting a false alternative hypothesis

In the hypothesis testing procedure, alpha isGroup of answer choicesthe confidence levelthe critical valuethe level of significance1 - level of significance

When the p-value is used for hypothesis testing, the null hypothesis is rejected if ___.Group of answer choicesp-value less than or equal to alphaalpha  less than  p-valuep-value  greater than alphap-value is equal to alpha

Suppose we are conducting a hypothesis test with the following hypotheses:H0: p = 0.7H1: p > 0.7Furthermore suppose we get a p-value of 0.07 while using = 0.05, which of the following is the correct decision?a.At the 5% level of significance, there is significant evidence to reject H1 and retain H0.  b.At the 5% level of significance, there is significant evidence to retain H0c.At the 5% level of significance, there is significant evidence to reject H0 in favour of H1.  d.At the 5% level of significance, there is not significant evidence to reject H0.