Use the gss.sav data file to answer the following: Perform the appropriate analyses to test whether the average number of hours of daily TV viewing (variable tvhours) is the same for men and women. Write a short summary of the results, including appropriate charts to illustrate your findings. Be sure to look at the distribution of hours of TV viewed separately for men and women. a. Based on the results you observed, is it reasonable to conclude that in the population, men and women watch the same amount of television? b. If you found a statistically difference between average hours watched by men and women, would you necessarily conclude that men and women do not watch the same amount of television? What other nonstatistical explanations are possible for your findings?

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ISBN:9781285463230
Author:Gilbert, Linda, Jimmie
Publisher:Gilbert, Linda, Jimmie
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Use the gss.sav data file to answer the following:

Perform the appropriate analyses to test whether the average number of hours of daily TV viewing (variable tvhours) is the same for men and women. Write a short summary of the results, including appropriate charts to illustrate your findings. Be sure to look at the distribution of hours of TV viewed separately for men and women.

a. Based on the results you observed, is it reasonable to conclude that in the population, men and women watch the same amount of television?

b. If you found a statistically difference between average hours watched by men and women, would you necessarily conclude that men and women do not watch the same amount of television? What other nonstatistical explanations are possible for your findings?

 

Styles
...
GET
FILE='D:\gss.sav'.
>Warning # 5281. Command name: GET FILE
>SPSS Statistics is running in Unicode encoding mode. This file is encoded in
>a locale-specific (code page) encoding. The defined width of any string
>variables are automatically tripled in order to avoid possible data loss. You
>can use ALTER TYPE to set the width of string variables to the width of the
>longest observed value for each string variable.
DATASET NAME DataSet1 WINDOW=FRONT.
T-TEST GROUPS=sex(1 2)
/MISSING=ANALYSIS
VARIABLES=tvhours
/CRITERIA=CI.95).
Group Statistics
Respondent's sex
Mean
Std. Deviation
Std. Error Mean
Hours per day watching TV
Male
382
3.01
2.648
135
Transcribed Image Text:Styles ... GET FILE='D:\gss.sav'. >Warning # 5281. Command name: GET FILE >SPSS Statistics is running in Unicode encoding mode. This file is encoded in >a locale-specific (code page) encoding. The defined width of any string >variables are automatically tripled in order to avoid possible data loss. You >can use ALTER TYPE to set the width of string variables to the width of the >longest observed value for each string variable. DATASET NAME DataSet1 WINDOW=FRONT. T-TEST GROUPS=sex(1 2) /MISSING=ANALYSIS VARIABLES=tvhours /CRITERIA=CI.95). Group Statistics Respondent's sex Mean Std. Deviation Std. Error Mean Hours per day watching TV Male 382 3.01 2.648 135
Female
524
3.00
2.497
109
Independent Samples Test
Hours per day watching TV
Equal variances Equal variances
assumed
not assumed
Levene's Test for Equality of F
康
221
Variances
Sig.
.638
t-test for Equality of Means
.068
.067
df
904
792.603
Sig. (2-tailed)
946
947
Mean Difference
012
.012
Std. Error Difference
.172
.174
95% Confidence Interval of
Lower
-327
-330
the Difference
Upper
350
353
Transcribed Image Text:Female 524 3.00 2.497 109 Independent Samples Test Hours per day watching TV Equal variances Equal variances assumed not assumed Levene's Test for Equality of F 康 221 Variances Sig. .638 t-test for Equality of Means .068 .067 df 904 792.603 Sig. (2-tailed) 946 947 Mean Difference 012 .012 Std. Error Difference .172 .174 95% Confidence Interval of Lower -327 -330 the Difference Upper 350 353
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