Answer:
b.0.02
Step-by-step explanation:
As he defined the significance level in α=0.05, and this is a one-side test (as the claim is that the percentage is <em>higher, </em>not lower), any P-value below the significance level shows a significant effect and gives evidence to reject the null hypothesis.
The P-value represents the probability of having this sample statistic, given that the statement of the null hypothesis is true. Then, the lower the P-value, more evident is that the null hypothesis is not correct. This threshold value to reject (or not) the null hypothesis is the significance level.
a) As the significance level is 0.05, a P-value=0.07 would not be low enough to reject the null hypothesis.
c) The magnitude of a P-value has impact on whether he rejects or fails to reject the null hypothesis, as is the value that is compared to the significance level to reject or not the null hypothesis.
No.
Negative numbers are not natural numbers.
Natural numbers are positive whole numbers.
1, 2, 3.... and so on.
Answer: 140%
Step-by-step explanation:
