In: Statistics and Probability
The following sample data have been collected from a paired sample from two populations. The claim is that the first population mean will be at least as large as the mean of the second population. This claim will be assumed to be true unless the data strongly suggest otherwise.
Population Data
Sample 1 | Sample 2 |
---|---|
4.4 | 3.7 |
2.7 | 3.5 |
1.0 | 4.0 |
3.5 | 4.9 |
2.8 | 3.1 |
2.6 | 4.2 |
2.4 | 5.2 |
2.0 | 4.4 |
2.8 | 4.3 |
From above probability plot, we see that assumption of normality holds.
Test and CI for Two Variances: Sample 1, Sample 2
Method
Null hypothesis
Variance(Sample 1) / Variance(Sample 2) = 1
Alternative hypothesis Variance(Sample 1) / Variance(Sample 2) not
= 1
Significance level Alpha = 0.05
Statistics
Variable N StDev Variance
Sample 1 9 0.937 0.879
Sample 2 9 0.662 0.438
Ratio of standard deviations = 1.417
Ratio of variances = 2.007
Test
Method
DF1 DF2 Statistic P-Value
F Test
(normal)
8 8
2.01 0.344
Since P-value>0.1 so we can assume the two population variances are same.