In: Statistics and Probability
A study is run comparing HDL cholesterol levels between persons who exercise regularly and those who do not. The data are shown below in Table 1.
Table: Mean HDL Cholesterol Levels by Regular Exercise
Group |
n |
Mean |
Std Dev |
No Regular Exercise |
8 |
55 |
11.9 |
Regular Exercise |
8 |
45 |
12.1 |
Is the mean HDL cholesterol levels in the group with “no regular exercise” statistically greater than those who exercise regularly at an a=.05? Sp=12
Generate a 95% confidence interval for the mean difference in HDL cholesterol levels between the two groups. Sp=12
Interpret this 95% CI (HINT: What does it mean?)
1)
from above as test statistic 1.667 is not higher then crtiical value we can not reject null hypotheiss
we do nt have evidence at 0.05 level to conclude that mean HDL cholesterol levels in the group with “no regular exercise” statistically greater than those who exercise regularly
2)
for 95% confidence :
point estimate of mean difference= | x1-x2 | = | 10.000 | ||
for 95 % CI & 14 df value of t= | = | 2.1450 | |||
margin of error E=t*std error = | 12.870 | ||||
lower confidence bound=mean difference-margin of error = | -2.87 | ||||
Upper confidence bound=mean differnce +margin of error= | 22.87 |
95% confidence interval for the mean difference =-2.87 ; 22.87
for above 95% CI refers of having 95% confidence that above interval contains population mean difference of HDL cholesterol levels between group with “no regular exercise” and group with exercise regularly