Question

1,

Which one of the following statement explains the definition of Type I error:

Pick one

		Reject the null hypothesis when the null hypothesis is true
		Reject the null hypothesis when the null hypothesis is false
		Fail to reject the null hypothesis when the null hypothesis is true
		Fail to reject the null hypothesis when the null hypothesis is false
		none of the above

2,

You test a hypothesis and you get a t-score = 2.87. If the p-value is 0.054 and the significance level alpha=0.05, you will be able to reject the null hypothesis. Pick one

True

False

3,

If the null hypothesis is µ = 0, which one of the following statements is a two-tailed alternative hypothesis? Pick One

		H1: µ < 0
		H1: µ ≠ 0
		H1: µ > 0
		H1: µ = 0
		none of the above

4,

Suppose we divide the states into two groups. Let population H be states with high levels of state funding and population L be states with low levels of state funding.

If we want to examine whether state funding changes education performance, how would you state the null hypothesis and alternative hypothesis?

Note: you may use != to stand for "not equal to".

Answer 1