In: Statistics and Probability
The following data represent the muzzle velocity (in feet per second) of rounds fired from a 155-mm gun. For each round, two measurements of the velocity were recorded using two different measuring devices, resulting in the following data. Complete parts (a) through (d) below.
Observation   A   B
1   791.9   801.8
2   794.1   791.2
3   793.5   797.9
4   793.9   789.4
5   791.1   799.3
6   794.1   789.3
(B) Determine the test statistic for this hypothesis test.
t0 = (BLANK)
Find the p value.
p0 = (BLANK)
What is your conclusion regarding a=.01 level of significance to conclude that there is a difference in the measurements of velocity between device A and device B.
(c) Construct a 99% confidence interval about the population mean difference. Compute the difference as device A minus device B. Interpret your results.
(Round to two decimal places as needed.)
(d) Interpret the confidence interval. Choose the correct answer below.
A.One can be 1% confident that the mean difference in measurement lies in the interval found above.
B.One can be 99% confident that the mean difference in measurement is 0.01
C.One can be 99% confident that the mean difference in measurement lies in the interval found above.
D.One can be 99% confident that the mean difference in measurement is 0.
Does this visual evidence support the results obtained in part(b)?
A.Yes, because 0 is contained in the boxplot.
B.No, because the boxplot is too large.
C.No, because 0 is not containednot containedin the boxplot.
D.Yes, because the boxplot shows no outliers.
| S. No | A | B | diff:(d)=x1-x2 | d2 | 
| 1 | 791.9 | 801.8 | -9.9 | 98.01 | 
| 2 | 794.1 | 791.2 | 2.9 | 8.41 | 
| 3 | 793.5 | 797.9 | -4.4 | 19.36 | 
| 4 | 793.9 | 789.4 | 4.5 | 20.25 | 
| 5 | 791.1 | 799.3 | -8.2 | 67.24 | 
| 6 | 794.1 | 789.3 | 4.8 | 23.04 | 
| total | = | Σd=-10.3 | Σd2=236.31 | |
| mean dbar= | d̅ = | -1.7167 | ||
| degree of freedom =n-1 = | 5 | |||
| Std deviaiton SD=√(Σd2-(Σd)2/n)/(n-1) = | 6.612539 | |||
| std error=Se=SD/√n= | 2.6996 | |||
| test statistic = | (d̅-μd)/Se = | -0.6359 | ||
| p value | = | 0.5528 | from excel: tdist(0.636,5,2) | |
since p value >0.01 ; we cannot conclude that there is mean difference.
c)
| for 99% CI; and 5 degree of freedom, value of t= | 4.032 | ||
| therefore confidence interval=sample mean -/+ t*std error | |||
| margin of errror =t*std error= | 10.884616 | ||
| lower confidence limit = | -12.6013 | ||
| upper confidence limit = | 9.1679 | ||
| from above 99% confidence interval for population mean =(-12.60 , 9.17) | |||
c) C.One can be 99% confident that the mean difference in measurement lies in the interval found above.
d)
A.Yes, because 0 is contained in the boxplot.