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

x = central angle apc = measure of minor arc ac

the two angles x and 30 add to 180, so x+30 = 180 and x = 180-30 = 150. the measure of minor arc ac is 150 degrees.

what we need to do from here is find the circumference and then multiply it by x/360 since there are 360 degrees in a circle. in this case, x = 150, so x/360 = 150/360 = 15/36 = 5/12. the shortest distance along the curve from a to c is 5/12 of the distance around the entire circle (aka circumference)

c = circumference

c = pi*d

c = pi*24

c = 24pi

now multiply this by 5/12 to get

distance along minor arc ac = (5/12)*(circumference)

distance along minor arc ac = (5/12)*(24pi)

distance along minor arc ac = 10pi

the formula you can use is

l = (x/360)*pi*d

with

l = length of minor arc

x = central angle

d = diameter

which essentially is the steps we took though a bit differently.

1 is c

2 is a

3 is a

step-by-step explanation: