In: Math
10.21 How do ratings of TV and phone services compare? File Telecom contains a rating of 13 different providers. a. At the 0.05 level of significance, is there evidence of a difference in the mean service rating between TV and phone services?
b. What assumption is necessary about the population distribution in order to perform this test?
c. Use a graphical method (show distribution, rejection and acceptance regions) to evaluate the validity of the assumption in (a).
d. Construct and interpret a 95% confidence interval estimate of the difference in the mean service rating between TV and phone services.
Provider | TV | Internet | |
Verizon FIOS | 71 | 71 | |
AT&T U-verse | 70 | 69 | |
Cox Communicaitons | 61 | 62 | |
SuddenLink | 63 | 66 | |
Optimum | 66 | 68 | |
Comcast Xfinity | 58 | 60 | |
TimeWarner | 60 | 62 | |
Mediacom | 56 | 58 | |
Spectrum | 63 | 65 | |
Frontier Communications | 60 | 56 |
a). hypothesis:-
is the difference between mean ratings of TV services and internet services of a provider.
necessary calculation be:-
TV () | Internet() | ||
71 | 71 | 0 | 0.81 |
70 | 69 | 1 | 3.61 |
61 | 62 | -1 | 0.01 |
63 | 66 | -3 | 4.41 |
66 | 68 | -2 | 1.21 |
58 | 60 | -2 | 1.21 |
60 | 62 | -2 | 1.21 |
56 | 58 | -2 | 1.21 |
63 | 65 | -2 | 1.21 |
60 | 56 | 4 | 24.01 |
sum = -9 | sum = 38.9 |
test statistic be:-
degrees of freedom = (n-1) = (10-1) =9
for 95 % confidence level ,df = 9, both tailed test, the critical value of t be:-
[ from t distribution table]
rejection region :-
reject the null hypothesis if,
or
decision:-
here, t = -1.369 > -2.262
so, we fail to reject the null hypothesis.
we conclude that,
at the 0.05 level of significance, there is not enough evidence to claim that there is a difference in the mean service rating between TV and phone services.
b). assumptions:-
we assume that the population follows an normal distribution.
validation:-
the probability plot be:-
it is clear that the data follow a normal distribution.
c).the diagram be:-
d).the 95% confidence interval be:-
= ( -2.387 , 0.587 )
we are 95 % confident that the mean difference of ratings for TV and internet service of a provider will lie within the interval ( -2.387 , 0.587 )
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