Here are several situations in which there is an incorrect application of the id

Question

Here are several situations in which there is an incorrect application of the ideas presented in this section. Write a short explanation of what is wrong in each situation and why it is wrong. A manager wants to test the null hypothesis that average weekly demand is not equal to 100 units. A random sample of size 25 is taken from a population that is assumed to have a standard deviation of 9. The standard deviation of the sample mean is 9/25. A researcher tests the following null hypothesis: H_0: x = 19.

Explanation / Answer

a) null hypothesis will not be "not equal than" because that is something that you want to prove so not equal to 100 is the alternative hypothesis

b)

the error is in the division the standard deviation of the sample mean is 9 / srqt 25

c)

the xbar is incorrect we always want to test parameters , xbar is a estimator that is from a sample

parameters are from populatioin so the test are based in poipulations

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