The sample standard deviation also affects our prediction of success. Imagine a data set where the sample size and x-bar stay the same, but with a larger standard deviation. This would indicate a larger variability in the data, which results in a test statistic with a p-value.

A. lower, higher
B. higher, lower
C. higher, higher
D. lower, lower

A. lower, higher

Step-by-step explanation:

correct answer is here lower test statistic  with a higher p-value because

Since the test is statistically the standard deviation in the denominator, the value of the test statistic decreases as the standard deviation increases. And there is a large potential for p value in calculating p value for small test statistics.

answer:     true

step-by-step explanation:

b. would be the answer : )

step-by-step explanation:

step 1: add -16x to both sides.

16x−4y+−16x=64+−16x  

−4y=−16x+64

step 2: divide both sides by -4.

−4y /-4 = -16x + 64/-4

answer:   y=4x−16

hope i'm right