Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method.
A study was done on body temperatures of men and women. Here are the sample statistics for the men: x1 = 97.55oF, s1 = 0.83oF, n1 = 11, and for the women: x2 = 97.31oF, s2 = 0.65oF, n2 = 59. Use a 0.06 significance level to test the claim that µ1 > µ2.
Given | |||
X1 bar | 97.55 | X2 bar | 97.31 |
S1 | 0.83 | S2 | 0.65 |
n1 | 11 | n2 | 59 |
Hypothesis : | α= | 0.06 | ||
df | 68 | n1+n2-2 | ||
Ho: | μ1 = μ0 | |||
Ha: | μ1 > μ0 | |||
t Critical Value : | ||||
tc | 1.574557904 | T.INV(1-D1,9) | RIGHT | |
ts | >= | tc | RIGHT | To reject |
Test : | ||||
Sp^2 | 0.461676471 | ((n1-1)S1^2+(n2-1)S2^2)/(n1+n2-2) | ||
t | 1.075513087 | (X1 bar-X2 bar )/SQRT(Sp^2*(1/n1 + 1/n2)) | Equal vriance | |
P value : | ||||
P value | 0.183414112 | T.DIST.RT(ts,df) | RIGHT | |
Decision : | ||||
P value | > | α | Do not reject | |
there is not enough evidence to conclude that the mean body temperatures of men greater than women at 6% significance level
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