Question

In: Statistics and Probability

1- Test the hypothesis that there is a significant difference between the number of hours older...

1- Test the hypothesis that there is a significant difference between the number of hours older (60 or more) versus younger people watch T.V. Alpha is 05

a) State the assumptions

b) State the null and alternate hypotheses

c) explain your decision to reject or not reject and formulate your conclusion (Alpha is .05) Show your work.

d) what is the mean difference between the two groups?

e) what are the lower and upper 95% confidence intervals?

f) which group watch more tv? please explain your answer.

Group Statistics

HOURS PER DAY WATCHING TV

Recorded Age N Mean Standard Deviation Standard Error Mean
1 (Young Group) 944 2.81 2.640 .086
2 (Older group) 354 3.82 3.288 .175

Independent Sample Test

(***NOTE**: To answer some of your questions just look at the second row of this table "Equal variance not assumed")

HOURS PER DAY WATCHING TV

F Sig( P-value) T (obtained) Df (Mean) Sig (2 Tailed) Mean Difference Standard Error Diference

95% Confidence Interval of the difference

Lower

95% Confidence Interval of the difference

Upper

Equal Variances Assumed 5.689 .017 -5.694 1296 .000 -1.005 .176 -1.351 -.658
Equal Variances Not Assumed -5.159 532.599 .000 -1.05 .195 -1.387 -.622

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