When the p-value is used for hypothesis testing, the null hypothesis is rejected if A. The p-value is greater than or equal to "alpha"
B. "Alpha" is less than the p-value
C. The p-value is equal to "alpha"
D. The p-value is less than or equal to "alpha".

B

Step-by-step explanation:

Here, we are to give the reason why we would reject the null hypothesis during the hypothesis testing.

In considering whether to accept the null hypothesis or reject the null hypothesis, we have to take into consideration two things.

The p-value and the alpha value. The p-value refers to the probability which is directly obtainable from the standard score which is referred to as the z-score while the alpha refers to the level of significance.

Now, when the p-value is less than alpha, we simply reject the null hypothesis and accept the alternative hypothesis. In a case however, we have the value of p greater than or equal to the significance level alpha, we simply accept the null hypothesis in this case.

The question asks for a rejection case and this can happen only when the p-value is less than the level of significance alpha

$450 is the answer.

step-by-step explanation:

30% of 450 = 135

450-135=315

answer: asdfghjkl,mnbv

step-by-step explanation: