3. Test a hypothesis that single/never married Americans spend more time watching TV than married Americans (TVHOURS, MARITAL). Use a=0.05. (Hint: look up the values for "single/never married" and “married" first). Ho: 1µ = 2µ H1: 1µ > 2µ Group Statistics Std. Std. Error Marital status Mean Deviation Mean Hours per day NEVER 540 2.86 2.872 .124 watching TV MARRIED MARRIED 782 2.65 2.142 .077 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Std. Error Difference Significance Mean Difference Lower Upper Sig df One-Sided p Two-Sided p .216 138 054 487 18.131 <.001 1.569 1320 058 117 Hours per day watching TV Equal variances assumed 502 .068 .137 216 .145 -069 1.489 937.125 Equal variances not assumed

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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EITHER state the critical values and use the critical values/z-obtained comparison OR use the p-value/alpha comparison to make a decision
3. Test a hypothesis that single/never married Americans spend more time watching TV
than married Americans (TVHOURS, MARITAL). Use a=0.05. (Hint: look up the
values for "single/never married" and “married" first).
Họ: 1µ = 2µ
%3D
H1: 1µ > 2µ
Group Statistics
Std.
Std. Error
Marital status
Mean
Deviation
Mean
540
2.86
2.872
.124
Hours per day
watching TV
NEVER
MARRIED
MARRIED
782
2.65
2.142
.077
Independent Samples Test
Levene's Test for Equality of
Variances
t-test for Equality of Means
95% Confidence Interval of the
Difference
Significance
One-Sided p Two-Sided p
Std. Error
Difference
Mean
Lower
Upper
Sig.
df
Difference
F
.216
.138
-.054
487
18.131
<.001
1.569
1320
.058
.117
Hours per day watching TV Equal variances assumed
.502
.068
.137
.216
.145
-.069
1.489
937.125
Equal variances not
assumed
Transcribed Image Text:3. Test a hypothesis that single/never married Americans spend more time watching TV than married Americans (TVHOURS, MARITAL). Use a=0.05. (Hint: look up the values for "single/never married" and “married" first). Họ: 1µ = 2µ %3D H1: 1µ > 2µ Group Statistics Std. Std. Error Marital status Mean Deviation Mean 540 2.86 2.872 .124 Hours per day watching TV NEVER MARRIED MARRIED 782 2.65 2.142 .077 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Significance One-Sided p Two-Sided p Std. Error Difference Mean Lower Upper Sig. df Difference F .216 .138 -.054 487 18.131 <.001 1.569 1320 .058 .117 Hours per day watching TV Equal variances assumed .502 .068 .137 .216 .145 -.069 1.489 937.125 Equal variances not assumed
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