Question

I'm attempting to run a Hypothesis test and I'm struggling to find how I start. The numbers represent BMI for 40 Females and Males. My hypothesis is that age doesn't necessarily correlate with how much you weigh (or a BMI over 25).

How do I complete a T-Test/Hypothesis Test for these numbers?

Ages are in parenthesis.

Female/(Age): 34.17(23), 29.35(23), 24.69(23), 36.29(45), 27.97(38), 24.10(23), 25.62(43), 21.97(19), 23.59(22), 23.94(22), 28.59(31), 27.93(33), 29.06(23), 27.91(35), 17.9(27), 19.2(25), 20.2(29), 24.2(51)

Male/(Age): 23.44(20), 21.13(24), 35.89(51), 26.98(21), 29.52(40), 23.22(45), 21.24(19), 17.61(19), 17.83(19), 21.62(19), 24.89(19), 26.85(23), 28.04(27), 28.26(29), 30.92(22), 26.29(21), 21.9(31), 25.8(29), 26.8(31), 25.1(27), 28.7(33), 25.8(65)

Answer #1

You need to combine the female's and male's data for age and weight because gender is not required to perform the correlation test between age and weight.

Write the data in the below form:

Weight Age

34.17 23

29.35 23

24.69 23

.

.

.

25.1 27

28.7 33

25.8 65

Now, you can perform the t-test for correlation in any statistical software. If you can tell me which software do you use then I might help you with how to run the correlation test in that software.

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