Assume that data are in a random sample of size n from a normal n(µ, 1) distribution with unknown µ. the null hypothesis is always h0 : µ = 0. the first step for each problem is to find the sampling distribution of the sample mean x¯.suppose the alternative is that µa > 0. you are going to use the sample mean ¯x as the test statistics. you plan to conduct the test by rejecting h0 if ¯x is sufficiently large, i. e. ¯x > x0 for some x0, and you have already decided that you will reject always the null hypothesis if the p-value of the test is < 0.05. 1 2 use r to compute x0 as a function of n for n = 5, 10, 20, 50, 100. the interval [x0, [infinity]) is called the rejection region.

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step-by-step explanation:

step-by-step explanation: the answer for wha if rt is 10 centimeters long, and wha is st? it’s 6

company a

step-by-step explanation:

using the linear regression models , it is found that company a   pays about $14 more. but using the same regression (linear) company b pays about $10 more.

so company a pays more than b

step-by-step explanation: given equation a = h(b 1+b 2)

also we are given values of a, h and b 1 as :

a = 16, h = 4, and b 1 = 3.

in order to solve it for b 2, we need to plug the given values of   a, h and b 1 .

therefore, plugging values of   a, h and b 1   in given equation, we get

16 = 4( 3 + b 2)

first dividing both sides by 4, we get

4 = 3 + b 2

subtracting 3 from both sides, we get

4 -3 = 3 -3 + b 2

1 = b 2.