In: Advanced Math
data:
| weight in lb | Mat-A | Mat-B | 
| 49 | 13.2 | 14 | 
| 51 | 8.2 | 8.8 | 
| 46 | 10.9 | 11.2 | 
| 50 | 14.3 | 14.2 | 
| 51 | 10.7 | 11.8 | 
| 47 | 6.6 | 6.4 | 
| 44 | 9.5 | 9.8 | 
| 47 | 10.8 | 11.3 | 
| 46 | 8.8 | 9.3 | 

a) To test H0 : 
The test statistic, t =  
,
has t distribution with (n-1) degrees of freedom
t = 
At 10% significance level the critical value obtained from t
table at 8 degrees of freedom is 
 Since t lies outside the range (-1.86, + 1.86)
The hypothesis that 
 is rejected
90% confidence interval = 

= (47.88 - 1.6256 , 47.88 + 1.6256)
= ( 46.2543 , 4950)
b) To test H0 : 
the test statistic t = 
Note : We should have two assumptions in place for using the above test statistic
1) The population from which the sample of Matrix A & B taken are normally distributed
2) The standard deviations are assumed to be equal. The second assumption is tested using F test and it can be assumed to be equal.
S1 = 2.4021 , S2 = 2.4951 , 
On subsitution
unpaired t = -0.5396
90% confidence interval is 
The critical value is obtained from t table at 10% significance level and n1 + n2 - 2 = 16 degrees of freedom i.e 1.746 = t0.90
Therefore 90% C 1 is = (-0.4226 - 1.746 * 0.78 , -0.4226 + 1.746 * 0.78)
= (-1.78 , 0.9393)
Since the 90% confidence interval contains 0. We accept the null hypothesis at 10% level of significance.
This conclusion can also be arrived using the critical level comparison with the test statistical value - 0.5396. The statistic is within the critical value range ( - 1.746 , +1.746 ). Hence we accept the null hypothesis at a 10% level of significance. There is no difference observed in the use of 2 materials of soles.
c) paired t-test :
To test H0 : 
The test statistics = 
= - 2.92281
The critical value for 8 degrees of freedom, at a 10% significance level is 1.86.
On comparing the critical value with test statistic value we reject the null hypothesis i.e this hypothesis was accepted in unpaired t-test but was rejected in paired t-test. According to paired t-test, the difference is actually evident at 10% significance level.