Question

In: Statistics and Probability

The following data represent the muzzle velocity​ (in feet per​ second) of rounds fired from a​...

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.

Solutions

Expert Solution

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            =     (-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.


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