State the Independent and dependent variables. Only the variable name would suffice.
statistics
Description
Open
file: 2004gss_revised.sav
·
Research
Hypothesis: Those who oppose capital
punishment also oppose abortion for any reason.
·
Alternative
Hypothesis: Those who oppose capital
punishment are in favor of abortion for any reason
Using
the 2004gss_revised.sav data file (found in “2004 GSS Files” folder), do bivariate
analyses to determine which hypothesis is more accurate. Remember to request
column percentages.
1. State the Independent and
dependent variables. Only the variable name would suffice.
a. Independent variable: ___ capital punishment _____
b. Dependent variable: _ abortion ______
If
you want to find out more about these variables and what the literal question
in the Survey was, please go here>>>.
(Hold _Ctrl_ key and click the link)
2. What percentage of those who
oppose capital punishment report supporting abortion?
_79/321 =
24.61%_______
3. What percentage of those who are
in favor of capital punishment report supporting abortion?
_171/321 = 53.27%_______
4. Which hypothesis is more
accurate? Why?
_ Capital punishment and abortion are independent of
each other. Two variables are independent _______
5. Create two (2) additional
crosstabulations with CAPPUN as the
independent (column) variable and ABDEFECT
and ABSINGLE as the dependent (row)
variables. Paste those 2 tables here:
__
|
Count |
||||
|
|
FAVOR OR
OPPOSE DEATH PENALTY FOR MURDER |
Total |
||
|
FAVOR |
OPPOSE |
|||
|
STRONG CHANCE OF SERIOUS DEFECT |
YES |
171 |
79 |
250 |
|
NO |
36 |
35 |
71 |
|
|
Total |
207 |
114 |
321 |
|
|
NOT MARRIED *
FAVOR OR OPPOSE DEATH PENALTY FOR MURDER Crosstabulation |
||||
|
Count |
||||
|
|
FAVOR OR
OPPOSE DEATH PENALTY FOR MURDER |
Total |
||
|
FAVOR |
OPPOSE |
|||
|
NOT MARRIED |
YES |
111 |
51 |
162 |
|
NO |
98 |
66 |
164 |
|
|
Total |
209 |
117 |
326 |
|
______
6. What is the epsilon value of supporting
abortion in the case of a birth defect between those who favor and
those who oppose capital punishment?
__171/207
– 79/114) = 13.31%______________
7. What is the epsilon value of supporting
abortion in the case where the mother is single between those who
favor and those who oppose capital punishment?
________(111/209 – 51/117) = 9.5%________________
a. Is this bigger or smaller than
the above epsilon?
____smaller ______
b. What does this mean?
_There
is a weaker relationship among single mothers and opposition or supporting
capital punishment then the first one. ________
CHI-SQUARE (50
points)
Same
file: 2004gss_revised.sav
As
we know, association means that two
variables are related to the extent that knowing a person’s attribute on one
will help you guess his or her attribute on the other. With this in mind,
hypothesize, and then find and interpret Lambda and Chi-Square values regarding
the relationship between CAPPUN and POSTLIFE (believe in life after death)
in the 2004gss_revised.sav file.
1.
State the Null Hypothesis and
Alternative Hypothesis:
a.
Null Hypothesis (Ho): __________
b.
Alternative Hypothesis (Ha):
__________
2.
State
the Independent and Dependent variables. Only the variable name would suffice.
a.
Independent variable: ________
b.
Dependent variable:
________
3.
Run the crosstabulation according
to the methods we have learned. Paste only the appropriate tables here (i.e.: Lambda and Chi-Square tables):
____________
4. What is the value of Lambda? What
does it mean?
__________
5.
What
is the value of Chi-Square? (Remember: you report the p-value!).
__________
6.
Based
on the Chi-Square value, do we reject or fail to reject the Null
Hypothesis at the .05 significance level? Elaborate you answer in plain
English, as if you were presenting it to a non-statistician person.
_________
