1.A Type I error is the level of significance for an hypothesis test, and it occurs when a true null hypothesis is rejected. True or False

2.The power of a test is the probability of accepting a null hypothesis that is true. True or False

3.If a null hypothesis is rejected at the 10% significance level and at the 5% significance level, then the p-value of the test is less than 1%. True or false

4.The p-value is the same as alpha, the level of significance of the hypothesis test.True or false

5.If a null hypothesis is rejected and the alternative accepted at the 10% level, then using the same data, it must be rejected in favor of the alternative at the 5% level. True or false