In: Statistics and Probability
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 The following table contains information on matched sample values whose differences are normally distributed. Use Table 2.  | 
| Number | Sample 1 | Sample 2 | 
| 1 | 19 | 22 | 
| 2 | 12 | 11 | 
| 3 | 22 | 21 | 
| 4 | 20 | 22 | 
| 5 | 18 | 20 | 
| 6 | 14 | 19 | 
| 7 | 18 | 19 | 
| 8 | 16 | 20 | 
| a. | 
 Construct the 95% confidence interval for the mean difference μD. (Negative values should be indicated by a minus sign. Round all intermediate calculations to at least 4 decimal places. Round your answers to 2 decimal places.)  | 
| Confidence interval is to | 
| b. | 
 Specify the competing hypotheses in order to test whether the mean difference differs from zero.  | 
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| c. | 
 Using the confidence interval from part a, are you able to reject H0?  | 
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The table given below ,
| Number | Sample 1(X) | Sample 2(Y) | di=X-Y | di^2 | 
| 1 | 19 | 22 | -3 | 9 | 
| 2 | 12 | 11 | 1 | 1 | 
| 3 | 22 | 21 | 1 | 1 | 
| 4 | 20 | 22 | -2 | 4 | 
| 5 | 18 | 20 | -2 | 4 | 
| 6 | 14 | 19 | -5 | 25 | 
| 7 | 18 | 19 | -1 | 1 | 
| 8 | 16 | 20 | -4 | 16 | 
| Total | -15 | 61 | 
From table ,


Critical value : 
 ; From excel "=TINV(0.05,7)'
a. The 95% confidence interval for the mean difference μD is ,




b. Hypothesis : H0: μD = 0; HA: μD ≠ 0
c. Here , the value μD = 0 does not lies in the 95% confidence interval.
Therefore , reject H0