For a hypothesis test of H0: p = 0.40 against the alternative Ha: p > 0.40, the z test statistic is found to be 2.25. What can be said about this finding? a. The finding is significant at both α = 0.05 and α = 0.01.

b. The finding is significant at α = 0.05 but not at α = 0.01.

c. The finding is significant at α = 0.01 but not at α = 0.05.

d. The finding is not significant at α = 0.05 and α = 0.01.

e. The finding is inconclusive because we don't know the value of p-hat.

B

Step-by-step explanation:

The first thing we need to do here is to find the probability value that corresponds to z-score of 2.25

While this is traceable using the normal distribution table, we can easily find it using the Normal distribution function in excel

By using this, we get the probability P value of the z score 2.25 to be 0.012224

Now, before we can accept or reject H0, we need to compare the value of P to the significance level alpha

If P ≤ alpha, we reject the null hypothesis H0

At alpha = 0.05, p value is lesser , we reject the null hypothesis.

At alpha P 0.01, p value is greater so we accept null hypothesis

This shows that the finding is significant at alpha = 0.05 (since we rejected null hypothesis) but not at alpha = 0.01(since we accepted null hypothesis)

87%

step-by-step explanation:

apex answer

step-by-step explanation:

a cube has 6 sides

the probability of getting 5 on the first cube is 1/6 since only one side of the cube has 5 on it.

there are 3 sides of the cube with even number on it [2,4,6]

therefore the probability of getting even number is 3/6

for both events to happen together, the probability would be

1/6 x 3/6 = 12/36

which simplifies to 1/12