We want to compare the weights of two independent groups of mice. Group 1 consists of 14 mice that were fed only cheese. Group 2 consists of 15 dogs that were fed only walnuts. Group 1 information: sample mean x1-bar = 18 and sample standard deviation s1 = 4. Group 2 information: sample mean x2-bar = 18 and sample standard deviation s2 = 7. Perform a 2-sided hypothesis test of H0: mu1 = mu2 against H1: mu1 not equal to mu2. Do not assume the two samples share the same variance. Find the P-value. Answer to three decimal places.
here p-value=1.000
here we use t-test with
null hypothesis H0:mean1=mean2 and alternate hypothesis H1:mean1≠mean2
statistic t=(mean1-mean2)/((sqrt(s12/n1+s22/n2)) =0/sqrt(4.4095)=0/2.0739=0
with df ==
sample | mean | s | s2 | n | s2/n | (s2/n)2)/(n-1) | |
Group1 | 18.0000 | 4.0000 | 16.0000 | 14 | 1.1429 | 0.100 | |
Group2 | 18.0000 | 7.0000 | 49.0000 | 15 | 3.2667 | 0.762 | |
difference= | 0.0000 | sum= | 65.0000 | 29 | 4.409524 | 0.86269318 | |
df= | 22.5386 | ||||||
SE= | 2.0999 | ||||||
t= | 0.0000 | ||||||
two tailed | p-value= | 1.0000 | |||||
critical | t(0.05) | 2.0739 |
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