Forgive my English, if its not too good.
I'm comparing two separate populations. Can it be concluded at a 5% significance level that the lung capacity of smokers is less than nonsmokers? There are 10 persons tested in each population.
I calculated the numbers (I won't list them all here)
For the Nonsmokers: We have a
Mean = 1.08 and SD = .1515
For Smokers: We have a
Mean = 1.004 and SD = .1319
I think this test is a one tailed test. H0: m = 1.08
HA: m < 1.08
So I took standard error of the mean: std dev / Sqrt of n
.1319/ 3.162 and standard error of mean is: .041
Then i did Test statistic: 1.004- 1.08 / .041 = -1.854
That gives me a Z-score of .0322
Since it falls into the critical region of .05 it is safe to say there is a difference and we reject our null hypothesis.
Can someone take a look at this please? Thank you very much.
I'm comparing two separate populations. Can it be concluded at a 5% significance level that the lung capacity of smokers is less than nonsmokers? There are 10 persons tested in each population.
I calculated the numbers (I won't list them all here)
For the Nonsmokers: We have a
Mean = 1.08 and SD = .1515
For Smokers: We have a
Mean = 1.004 and SD = .1319
I think this test is a one tailed test. H0: m = 1.08
HA: m < 1.08
So I took standard error of the mean: std dev / Sqrt of n
.1319/ 3.162 and standard error of mean is: .041
Then i did Test statistic: 1.004- 1.08 / .041 = -1.854
That gives me a Z-score of .0322
Since it falls into the critical region of .05 it is safe to say there is a difference and we reject our null hypothesis.
Can someone take a look at this please? Thank you very much.