Smaller p-values indicate more evidence in support of the: A. the reduction of variance B. null hypothesis C. quality of the researcher D. alternative hypothesis

D

Step-by-step explanation:

Smaller p values that there is evidence to show that the alternate hypothesis should be accepted. The smaller the p value, the more evidence there is that we are not to accept the null hypothesis. The p value during a hypothesis yet, tells us how significant our result is. It gives a measurement of how strong the evidence is, against the null hypothesis.

answer: expected value of x = 1.0

step-by-step explanation:

p(x=0) = 0.25

p(x=1) = 0.50

p(x=2) = 0.25

expected value for x = 0×0.25 + 1×0.5 + 2×0.25 = 1.0

step-by-step explanation: