In: Statistics and Probability
Sample 1 | Sample 2 | |
n (size) | 15 | 15 |
average | 1345 | 1210 |
stdev | 31 | 28 |
variance | 961 | 784 |
Pooled variance | 872,50 | |
st.err | 10,786 | |
t | 12,516 | |
alpha | 0,05 | |
tα | 1,701 | |
p-value | 0,0000 | |
Confidence intervals | ||
lower | 116,6519537 | |
upper | 153,3480463 |
An automobile company is considering the purchase of batteries in bulk from two suppliers. A sample of 15 batteries is randomly selected from each supplier and tested .
The mean lifetimes are:
?1=1345 h???? ?1=31 h???? ?1 =15
?2=1210 h???? ?2=28 h???? ?2 =15
a) State the null and alternative hypotheses
b) What should the automobile company conclude if the test is conducted at the 0,05 significance level?
Given,
?1 bar =1345 h???? ?1=31 h???? ?1 =15
?2 bar =1210 h???? ?2=28 h???? ?2 =15
F test for equal variance
F = S1^2/S2^2 = 1.2258
P value = 0.3543 (Use F table)
P value > 0.05, Do not reject null hypothesis of equal variances
Two sample t test:
a) Hypothesis : | α= | 0.05 | ||
df | 28 | n1+n2-2 | ||
Ho: | μ1 = μ2 | |||
Ha: | μ1 not = μ2 | |||
t Critical Value : | ||||
tc | 2.048407142 | T.INV.2T(D1,D2) | TWO | |
ts | < for - | tc | TWO | To reject |
ts | > for + | tc | TWO | To reject |
Test : | ||||
Sp^2 | 872.5 | ((n1-1)S1^2+(n2-1)S2^2)/(n1+n2-2) | ||
t | 12.5164648 | (X1 bar-X2 bar )/SQRT(Sp^2*(1/n1 + 1/n2)) | Equal vriance | |
P value : | ||||
P | 5.47733E-13 | T.DIST.2T(ts,df) | TWO | |
Decision : | ||||
P value | < | α | Reject H0 |
b) Conclusion:
There is enough evidence to conclude that the mean lifetimes of 15 batteries from two suppliers is different at 5% significance level