In: Statistics and Probability
In order to compare the means of two populations, independent random samples of 400 observations are selected from each population with the following results:
Sample 1 | Sample 2 |
Sample Mean = 5275 | Sample Mean = 5240 |
s1 = 150 | s2 = 200 |
To test the null hypothesis H0: µ1 - µ2 = 0 versus the alternative hypothesis Ha: µ1 - µ2 ╪ 0 versus the alternative hypothesis at the 0.05 level of significance, the most accurate statement is:
Here we have : n1 =400, n2 = 400, = 5275, s1 = 150, = 5240, s2 = 200
The hypothesis are :
H0: µ1 - µ2 = 0 v/s Ha: µ1 - µ2 ╪ 0
Here we have sample standard deviations but sample sizes are large. Hence we use z test statistic. We use sample standard deviation as a estimate of population standard deviation.
The test statistic is,
= 2.8
= 0.05
The critical values are,
Here test is two tailed.
Left tailed value :
Right tailed value :
Here calculated value of z > critical value of z.
Hence we reject null hypothesis.
Conclusion : There is sufficient evidence to conclude that the two population means are different.