Week 5
MEAN OF RESPODENT AGE
Running Head: MEAN OF RESPODENT AGE 2
Mean of Respondent Age
Student Name
Date
Mean of respondent AGE
Descriptive Statistics
N
Mean
Std. Deviation
AGE OF RESPONDENT
505
48.27
17.145
Valid N (listwise)
505
You can potentially gain a lot of valuable detail during analysis of their feedback by surveying age ranges and using appropriate survey questions to identify the age demographic of the people who took your survey by surveying age ranges and using appropriate survey questions to identify the age demographic of the people who took your survey.
The following table show the different aviation of the variables. Total sum is 505 and mean of the variable age is 48.27 means there is 48.27 variation and 17.145 deviations of the variables
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
Rs occupational prestige score (2010)
482
17
80
45.47
13.947
R's socioeconomic index (2010)
482
12.4
92.8
50.215
23.4844
AGE OF RESPONDENT
505
18
89
48.27
17.145
NUMBER OF CHILDREN
505
0
8
1.61
1.569
ARE YOU A CITIZEN OF AMERICA?
254
1
2
1.10
.304
NUMBER OF COLLEGE-LEVEL SCI COURSES R HAVE TAKEN
115
1
50
6.24
8.705
FAMILY INCOME IN CONSTANT DOLLARS
457
370
160742
62354.62
52512.386
RESPONDENT INCOME IN CONSTANT DOLLARS
310
370
158657
45967.22
41388.340
RS HIGHEST DEGREE
507
0
4
1.97
1.389
DOES R OWN OR RENT HOME?
313
1
3
1.46
.524
HIGHEST YEAR OF SCHOOL COMPLETED
507
2
20
14.29
3.353
EMAIL HOURS PER WEEK
273
0
150
9.15
16.097
SHOULD MARIJUANA BE MADE LEGAL
332
1
2
1.40
.490
NUMBER OF HOURS USUALLY WORK A WEEK
11
15
60
40.64
11.977
MARITAL STATUS
505
1
5
2.68
1.735
HAVE GUN IN HOME
344
1
3
1.89
.381
POLITICAL PARTY AFFILIATION
498
0
7
2.37
1.888
RACE OF RESPONDENT
507
1
3
1.50
.766
FAMILY INCOME IN CONSTANT $
457
237
134817
45500.48
44529.499
RESPONDENTS INCOME
310
1
12
10.89
2.446
RESPONDENTS SEX
507
1
2
1.54
.499
SEXUAL ORIENTATION
446
1
3
2.93
.350
SIZE OF PLACE IN 1000S
507
2
8175
1234.82
2596.137
HOURS PER DAY WATCHING TV
313
0
20
2.64
2.249
DOES R OR SPOUSE BELONG TO UNION
354
1
4
3.59
.969
IS R US CITIZEN
126
1
4
1.43
.572
R FEELS DISCRIMINATED BECAUSE OF RACE
258
1
2
1.96
.202
R FEELS DISCRIMINATED BECAUSE OF GENDER
259
1
2
1.95
.219
R SELF-EMP OR WORKS FOR SOMEBODY
486
1
2
1.85
.356
LABOR FORCE STATUS
506
1
8
2.87
2.304
WWW HOURS PER WEEK
262
0
122
14.55
18.943
Valid N (listwise)
0
The following table shows the different variables' mean results The mean is the average of the numbers. You can potentially gain a lot of valuable detail during the analysis of their feedback by surveying age ranges and using appropriate survey questions to identify the age demographic of the people who took your survey by surveying age ranges and using appropriate survey questions to identify the age demographic of the people who took your survey.
The following table shows the different aviation variables. The total sum is 505 and the mean of the variable age is 48.27 means there is 48.27 variation and 17.145 deviations of the variables
The findings reveal that the age coefficient has a negative impact on firearms. The number of guns drops as people get older, although this has no effect on the model. Citizenship has a beneficial effect on guns but has no effect on the model. Furthermore, Races has a beneficial effect on Guns, with a minimal effect on the model. Furthermore, the value of the constant in the second model has a substantial impact on the model. Furthermore, the value of weapons has a detrimental influence on low-income people, because those with higher wealth will buy fewer firearms for security reasons, and the number of persons buying weapons for security purposes will decrease by 1%. Citizen and Guns are unaffected by any of the other variables in this model.
The key purpose is to use these two regressions to assess the analysis's intermediate impacts. We use the Sobel test to accomplish this (see Appendix 05). The Sobel test statistics are 0.34, 0.54, and 0.46, with related p-values, indicating IV and DV (in this example, guns, and age) and associated p-values, that is, the observed p-value is not lower than the specified alpha 0.05 level, suggesting IV and DV (in this case, guns and age). Because of intermediates (weapons), the relationship between citizens and ethnicity in low-income homes is not included in the model; in other words, there is no evidence of mediation.