1)For any hypothesis, when you reject the null hypothesis using the critical value approach you are guaranteed to also reject the null hypothesis if you use the P-value approach as long as you use the same value of

yes

no

not enough information to make a conclusion

2)In hypothesis testing if there is not sufficient evidence to support the alternative hypothesis

the alternative hypothesis cannot be true

there is sufficient evidence to support thenull hypothesis

there is proof the null hypothesis is true

None of these alternatives is correct.

3)The decision rule for the p-value approach is

Reject the Null hypothesis in favor of the alternative hypothesis if P-value < alpha().

Reject the Null hypothesis in favor of the alternative hypothesis if P-value > alpha().

Do NOT Reject the Null hypothesis in favor of the alternative hypothesis if P-value < alpha().

None of these are correct