In: Statistics and Probability
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 | |||