Question

Give an example of a mean that applies to two Populations for which you, as a Health Professional, would like to do a Hypothesis Test for. In your Hypothesis Test you will be testing the difference between these two Population means when the two samples are independent. Your discussion MUST include the two target Populations along with the Population characteristic that your mean is computed for, and the unit that is used when taking the sample measurements. As shown in the text your Null and Alternative Hypotheses MUST include a symbol for each of the two Population means along with the relational operator that describes the difference being tested between these two parameters as stated in your discussion.

Answer 1

Answer:

Consider two distinct assortments of nourishment propensities A and B.

We are keen on knowing whether there is any reason for these nourishment propensities on the sugar level of the individual.

Here A and B are two populaces. The mean of Population An is A and mean of Population B is B .

The hypothesis here is to check whether there is any noteworthy contrast in the mean of the two populaces A and B.

The null hypothesis expresses that there is no noteworthy contrast between the mean glucose level of populace A and B.

The alternate hypothesis expresses that there is a critical distinction between the mean glucose level of populace A and B.

This can be indicated emblematically as follows

Null hypothesis Ho : A = B

Alternative hypothesis Ha : A != B

The unit of glucose level is milli moles.

Henceforth A & B have similar units of estimation which is milli moles.

A & B are populace parameters, which talks about the mean of the two distinctive populace.

We can utilize two-example t-test to dissect this by taking examples from every populace A and B.