Question: State whether true or false:

1. In hypothesis testing, if the significance level is .05, then beta, the type II error is 1-.05 = .95
2. In hypothesis testing, if the null hypothesis is true, a Type II error could be made.
3. In hypothesis testing, if the decision is to accept Ho, a Type II error could be made.
4. In hypothesis testing, if the null hypothesis is rejected, it is because it is definitely not true.
5. A one-sided test is used whenever the sample size is small.
6. If alpha = .05, it means that if Ho is true, the chance of falsely rejecting it is maximum 5%.
7. If the P-value is .04, and the significance level alpha = .05, then we will reject Ho.
8. A hypothesis test is performed, and the data were found to be statistically significant at alpha = 5%. Then data will be significant at 1% also
9. Increasing alpha increases the critical value.
10. Decreasing alpha increases the area of the critical region.

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