Questions 1-3  Graph inserted to use for the questions.  Does the average number of hours spent watching TV (TVHOURS) for the sample differ from the national average of 2.75? (2.75 is the test value in this case. Does the average number of children (CHILDS) for this sample differ from the national average of 2?  (2 is the test value in this case.) Does the average number of years of education attained (EDUC) for this sample differ from the national average of 13.2? (13.2 is the test value.)

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Questions 1-3 

Graph inserted to use for the questions. 

  1. Does the average number of hours spent watching TV (TVHOURS) for the sample differ from the national average of 2.75? (2.75 is the test value in this case.
  2. Does the average number of children (CHILDS) for this sample differ from the national average of 2?  (2 is the test value in this case.)
  3. Does the average number of years of education attained (EDUC) for this sample differ from the national average of 13.2? (13.2 is the test value.)

 

Assignment:
You are now ready to perform your own statistical analyses for each of the following situations. Use
the examples given above to produce the SPSS output. Copy the output into a Word document to save
paper. Then, type a sentence or two in which you interpret the results using APA reporting method
that was outlined above. Use the five step process to help you determine your results and report your
findings. In reality, SPSS is doing the calculation for you-your reporting is what would be reported in
step 5 of hypothesis testing.
1. Does the average number of hours spent watching TV (TVHOURS) for the sample differ from
the national average of 2.75? (2.75 is the test value in this case.)
One-Sample Statistics
Std.
Std. Error
N
Мean
Deviation
Мean
Hours per day
1555
2.94
2.837
.072
watching TV
One-Sample Test
Test Value = 0
95% Confidence Interval of
the Difference
Sig. (2-
tailed)
Мean
t
df
Difference
Lower
Upper
Hours per day
watching TV
40.840
1554
.000
2.938
2.80
3.08
2. Does the average number of children (CHILDS) for this sample differ from the national average
of 2? (2 is the test value in this case.)
One-Sample Statistics
Std.
Std. Error
N
Mean
Deviation
Mean
Number of
2344
1.86
1.674
.035
children
One-Sample Test
Test Value = 0
95% Confidence Interval
of the Difference
Sig. (2-
tailed)
Mean
df
Difference
Lower
Upper
Number of
53.651
2343
.000
1.855
1.79
1.92
children
Transcribed Image Text:Assignment: You are now ready to perform your own statistical analyses for each of the following situations. Use the examples given above to produce the SPSS output. Copy the output into a Word document to save paper. Then, type a sentence or two in which you interpret the results using APA reporting method that was outlined above. Use the five step process to help you determine your results and report your findings. In reality, SPSS is doing the calculation for you-your reporting is what would be reported in step 5 of hypothesis testing. 1. Does the average number of hours spent watching TV (TVHOURS) for the sample differ from the national average of 2.75? (2.75 is the test value in this case.) One-Sample Statistics Std. Std. Error N Мean Deviation Мean Hours per day 1555 2.94 2.837 .072 watching TV One-Sample Test Test Value = 0 95% Confidence Interval of the Difference Sig. (2- tailed) Мean t df Difference Lower Upper Hours per day watching TV 40.840 1554 .000 2.938 2.80 3.08 2. Does the average number of children (CHILDS) for this sample differ from the national average of 2? (2 is the test value in this case.) One-Sample Statistics Std. Std. Error N Mean Deviation Mean Number of 2344 1.86 1.674 .035 children One-Sample Test Test Value = 0 95% Confidence Interval of the Difference Sig. (2- tailed) Mean df Difference Lower Upper Number of 53.651 2343 .000 1.855 1.79 1.92 children
3. Does the average number of years of education attained (EDUC) for this sample differ from the
national average of 13.2? (13.2 is the test value.)
One-Sample Statistics
Std.
Std. Error
N
Mean
Deviation
Mean
Highest year of
school completed
2345
13.73
2.974
.061
One-Sample Test
Test Value = 0
95% Confidence Interval of
the Difference
Sig. (2-
tailed)
Mean
df
Difference
Lower
Upper
Highest year of school 223.569
2344
.000
13.732
13.61
13.85
completed
Transcribed Image Text:3. Does the average number of years of education attained (EDUC) for this sample differ from the national average of 13.2? (13.2 is the test value.) One-Sample Statistics Std. Std. Error N Mean Deviation Mean Highest year of school completed 2345 13.73 2.974 .061 One-Sample Test Test Value = 0 95% Confidence Interval of the Difference Sig. (2- tailed) Mean df Difference Lower Upper Highest year of school 223.569 2344 .000 13.732 13.61 13.85 completed
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