Which of the following is not true in hypothesis testing? The smaller the p-value, the less evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. The larger the p value, the less evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. The smaller the p value, the more evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. None of the above

The larger the p value, the less evidence the data provide against the null hypothesis and in favour of the alternative hypothesis

Step-by-step explanation:

P Value is the probability of obtaining extreme observed results in a statistical hypothesis test, assuming that null hypothesis is correct.

High p value implies evidence in favour of null hypothesis, against alternate hypothesis.

Low p value implies evidence against null hypothesis, in favour of alternate hypothesis

so the possibilities of the measurement of the side of the triangle are either it is longest side or not the longest side

when it is the longest side

s < 25 + 35s < 60

if it is not the longest side

35 < 25 + s10 < sso 10 < s < 60so the perimeter70 < p < 130

current in the circuit at time t is /, then the power delivered to the resistor is

step-by-step explanation: