In: Statistics and Probability
You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal You obtain a sample of size n1=20n1=20 with a mean of ¯x1=53.2x¯1=53.2 and a standard deviation of s1=20.4s1=20.4 from the first population. You obtain a sample of size n2=26n2=26 with a mean of ¯x2=62.8x¯2=62.8 and a standard deviation of s2=10.8s2=10.8 from the second population.
using excel>addin>phstat>two sample test
we have
Separate-Variances t Test for the Difference Between Two Means | |
(assumes unequal population variances) | |
Data | |
Hypothesized Difference | 0 |
Level of Significance | 0.05 |
Population 1 Sample | |
Sample Size | 20 |
Sample Mean | 53.2 |
Sample Standard Deviation | 20.4000 |
Population 2 Sample | |
Sample Size | 26 |
Sample Mean | 62.8 |
Sample Standard Deviation | 10.8000 |
Intermediate Calculations | |
Numerator of Degrees of Freedom | 639.7942 |
Denominator of Degrees of Freedom | 23.5931 |
Total Degrees of Freedom | 27.1179 |
Degrees of Freedom | 27 |
Standard Error | 5.0293 |
Difference in Sample Means | -9.6000 |
Separate-Variance t Test Statistic | -1.9088 |
Lower-Tail Test | |
Lower Critical Value | -1.7033 |
p-Value | 0.0335 |
Reject the null hypothesis |