1.) Are men significantly different from women (SEX) in the number of hours of television watched (TVHOURS)? Also provide the 5-step hypothesis testing steps. Group Statistics Respondent Std. Std. Error s sex N Mean Deviation Mean Hours per day MALE 689 2.85 2.626 .100 watching TV FEMALE 866 3.01 2.994 .102 Independent Samples Test Levene's Test for Equality of t-test for Equality of Means Std. Variances 95% Confidence Мean Error Interval of the Sig. (2- Differenc Differenc tailed) Difference F Sig. df e e Lower Upper Hours per day Equal variances 1.524 .217 1553 .269 -.160 .145 -444 .124 watching TV assumed 1.106 Equal variances 1538.2 .262 -.160 .143 -.440 .120 not assumed 1.123 94
1.) Are men significantly different from women (SEX) in the number of hours of television watched (TVHOURS)? Also provide the 5-step hypothesis testing steps. Group Statistics Respondent Std. Std. Error s sex N Mean Deviation Mean Hours per day MALE 689 2.85 2.626 .100 watching TV FEMALE 866 3.01 2.994 .102 Independent Samples Test Levene's Test for Equality of t-test for Equality of Means Std. Variances 95% Confidence Мean Error Interval of the Sig. (2- Differenc Differenc tailed) Difference F Sig. df e e Lower Upper Hours per day Equal variances 1.524 .217 1553 .269 -.160 .145 -444 .124 watching TV assumed 1.106 Equal variances 1538.2 .262 -.160 .143 -.440 .120 not assumed 1.123 94
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Are men significantly different from women (SEX) in the number of hours of television watched (TVHOURS)?
Also provide the 5-step hypothesis testing steps.
Image attached*
![1.) Are men significantly different from women (SEX) in the number of hours of television watched (TVHOURS)?
Also provide the 5-step hypothesis testing steps.
Group Statistics
Respondent
Std.
Std. Error
S sex
Mean Deviation
Mean
Hours per day
MALE
689
2.85
2.626
.100
watching TV
FEMALE
866
3.01
2.994
.102
Independent Samples Test
Levene's Test for
Equality of
Variances
t-test for Equality of Means
Std.
95% Confidence
Мean
Error
Interval of the
Sig. (2- Differenc Differenc
tailed)
Difference
F
Sig.
t
df
e
e
Lower
Upper
Hours per day
Equal variances
1.524
.217
1553
.269
-.160
.145
-444
.124
watching TV
assumed
1.106
Equal variances
1538.2
262
-.160
.143
-440
.120
not assumed
1.123
94](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4ba9c129-90b1-46d9-97b1-9e7ac2fcacf0%2F0185cdcf-1d23-4322-9fca-b5f37235d253%2Fy4sjxvg_processed.png&w=3840&q=75)
Transcribed Image Text:1.) Are men significantly different from women (SEX) in the number of hours of television watched (TVHOURS)?
Also provide the 5-step hypothesis testing steps.
Group Statistics
Respondent
Std.
Std. Error
S sex
Mean Deviation
Mean
Hours per day
MALE
689
2.85
2.626
.100
watching TV
FEMALE
866
3.01
2.994
.102
Independent Samples Test
Levene's Test for
Equality of
Variances
t-test for Equality of Means
Std.
95% Confidence
Мean
Error
Interval of the
Sig. (2- Differenc Differenc
tailed)
Difference
F
Sig.
t
df
e
e
Lower
Upper
Hours per day
Equal variances
1.524
.217
1553
.269
-.160
.145
-444
.124
watching TV
assumed
1.106
Equal variances
1538.2
262
-.160
.143
-440
.120
not assumed
1.123
94
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