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The concepts and procedures of two-sample tests for comparing the means of two independent samples. It includes the formula for the test statistic and its distribution under the null hypothesis. Two examples are provided to illustrate the application of the test. Students are encouraged to calculate the test statistic and determine the p-value for each example.
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E( X¯ − Y¯ ) = μX − μY.
Var( X¯ − Y¯ ) = σ X^2 /n + σ Y^2 /m.
√ σ^2 X /n + σ^2 Y /m
H 0 : μX = μY vs. H 1 : μX 6 = μY
√ σ^2 X /n + σ^2 Y /m
Example 1. A study was conducted to compare the reaction times of men and women to a stim- ulus. 12 men and 9 women were employed in the experiment. Let Xi be the reaction time of the i-th man and Yj be the reaction time of the j-th woman. There is a reason to believe that Xi ∼ N(μX , 0 .18) and Yj ∼ N(μY , 0 .14). We want to test if the population means are the
same. The following measurements were taken: x¯ = 3.6 seconds, ¯y = 3.8 seconds. Is there any difference between the reaction times of men and women?
z=(3.6-3.8)/sqrt(0.18/12+0.14/9) z [1] -1.
Example 2. A study was conducted to compare the reaction times of men and women to a stim- ulus. 50 men and 65 women were employed in the experiment. Let Xi be the reaction time of the i-th man and Yj be the reaction time of the j-th woman. The following measurements were taken: ¯x = 3.6 seconds, ¯y = 3.8 seconds, s^2 X = 0.18, s^2 Y = 0.14. Is there any difference between the reaction times of men and women?
z=(3.6-3.8)/sqrt(0.18/50+0.14/65) z [1] -2. qnorm(0.025) [1] -1.
What is the main reason you are getting the different results in Example 1 and 2?
Determine the P -value in Example 1 and 2.