Discussion: Central Tendency and Variability
jamisha5
example.docxCategorical
|
Statistics |
||
|
HAVE GUN IN HOME |
||
|
N |
Valid |
344 |
|
|
Missing |
163 |
|
Mean |
1.89 |
|
|
Median |
2.00 |
|
|
Mode |
2 |
|
|
Std. Deviation |
.381 |
|
|
Variance |
.145 |
|
HAVE GUN IN HOME |
|||||
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
|
Valid |
YES |
46 |
9.1 |
13.4 |
13.4 |
|
|
NO |
290 |
57.2 |
84.3 |
97.7 |
|
|
REFUSED |
8 |
1.6 |
2.3 |
100.0 |
|
|
Total |
344 |
67.9 |
100.0 |
|
|
Missing |
IAP |
163 |
32.1 |
|
|
|
Total |
507 |
100.0 |
|
|
The categorical variable that I used for this discussion was the nominal variable of having a gun in the home. The mean of the data is 1.89. The median of the data is 2.00. The mode of the data is 2. The standard deviation in this data is .38. In this instance I feel that the median or average would be the best measure of central tendency. An appropriate measure of variation is the mean of the respondent’s feelings towards owning a gun or having it in the home. The variance of the data is .145. This information would provide us with the average of the participants who have at least one gun in the home. This measure would give us a better look at the entire picture of the dataset. I would describe this data as all-encompassing of the participants in the research. This measure of the variable allows us to view the attitudes of the participants in this dataset. An example of a research question that this variable would help to answer is do more republican or democratic participants have firearms in their home?
Continuous
|
Statistics |
||
|
WWW HOURS PER WEEK |
||
|
N |
Valid |
262 |
|
|
Missing |
245 |
|
Mean |
14.55 |
|
|
Median |
7.00 |
|
|
Mode |
1 |
|
|
Std. Deviation |
18.943 |
|
|
Variance |
358.831 |
|
WWW HOURS PER WEEK |
|||||
|
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
|
Valid |
0 |
13 |
2.6 |
5.0 |
5.0 |
|
|
1 |
30 |
5.9 |
11.5 |
16.4 |
|
|
2 |
19 |
3.7 |
7.3 |
23.7 |
|
|
3 |
19 |
3.7 |
7.3 |
30.9 |
|
|
4 |
10 |
2.0 |
3.8 |
34.7 |
|
|
5 |
27 |
5.3 |
10.3 |
45.0 |
|
|
6 |
5 |
1.0 |
1.9 |
46.9 |
|
|
7 |
10 |
2.0 |
3.8 |
50.8 |
|
|
8 |
5 |
1.0 |
1.9 |
52.7 |
|
|
10 |
23 |
4.5 |
8.8 |
61.5 |
|
|
12 |
6 |
1.2 |
2.3 |
63.7 |
|
|
13 |
1 |
.2 |
.4 |
64.1 |
|
|
14 |
6 |
1.2 |
2.3 |
66.4 |
|
|
15 |
12 |
2.4 |
4.6 |
71.0 |
|
|
16 |
1 |
.2 |
.4 |
71.4 |
|
|
18 |
1 |
.2 |
.4 |
71.8 |
|
|
20 |
16 |
3.2 |
6.1 |
77.9 |
|
|
21 |
2 |
.4 |
.8 |
78.6 |
|
|
22 |
1 |
.2 |
.4 |
79.0 |
|
|
24 |
2 |
.4 |
.8 |
79.8 |
|
|
25 |
8 |
1.6 |
3.1 |
82.8 |
|
|
28 |
3 |
.6 |
1.1 |
84.0 |
|
|
30 |
14 |
2.8 |
5.3 |
89.3 |
|
|
35 |
2 |
.4 |
.8 |
90.1 |
|
|
36 |
2 |
.4 |
.8 |
90.8 |
|
|
40 |
7 |
1.4 |
2.7 |
93.5 |
|
|
45 |
2 |
.4 |
.8 |
94.3 |
|
|
50 |
2 |
.4 |
.8 |
95.0 |
|
|
55 |
1 |
.2 |
.4 |
95.4 |
|
|
60 |
5 |
1.0 |
1.9 |
97.3 |
|
|
70 |
1 |
.2 |
.4 |
97.7 |
|
|
80 |
2 |
.4 |
.8 |
98.5 |
|
|
84 |
1 |
.2 |
.4 |
98.9 |
|
|
100 |
1 |
.2 |
.4 |
99.2 |
|
|
120 |
1 |
.2 |
.4 |
99.6 |
|
|
122 |
1 |
.2 |
.4 |
100.0 |
|
|
Total |
262 |
51.7 |
100.0 |
|
|
Missing |
IAP |
241 |
47.5 |
|
|
|
|
DK |
2 |
.4 |
|
|
|
|
NA |
2 |
.4 |
|
|
|
|
Total |
245 |
48.3 |
|
|
|
Total |
507 |
100.0 |
|
|
The continuous variable that I used for this discussion was the scale variable of www hours per week. The mean of the data is 14.55. The median of the data is 7.00. The mode of the data is 1. The standard deviation in this data is 18.943. The best measure of central tendency for this dataset would be the mean as we would know the average of the hours watched per week. The variance of this dataset is 358.831 which shows that there was a large variance in the dataset. I would describe this data as all-encompassing of the participants in the research. This measure of the variable allows us to see the average amount of time that participants are partaking in this activity. An example of a research question that this variable would help to answer is do more republican or democratic participants have firearms in their home?
References:
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Categorical
Statistics
HAVE GUN IN HOME
N
Valid
344
Missing
163
Mean
1.89
Median
2.00
Mode
2
Std. Deviation
.381
Variance
.145
HAVE GUN IN HOME
Frequency
Percent
Valid Percent
Cumulative
Percent
Valid
YES
46
9.1
13.4
13.4
NO
290
57.2
84.3
97.7
REFUSED
8
1.6
2.3
100.0
Total
344
67.9
100.0
Missing
IAP
163
32.1
Total
507
100.0
The categorical variable that I used for this discussion was the nominal variable of having a gun in the
home. The mean of the data is 1.89. The median of the data is 2.00. The mode of the data is 2. The
standard deviation in this data is .38. In this inst
ance I feel that the median or average would be the best
measure of central tendency. An appropriate measure of variation is the mean of the respondent’s
feelings towards owning a gun or having it in the home. The variance of the data is .145. This
informa
tion would provide us with the average of the participants who have at least one gun in the
home. This measure would give us a better look at the entire picture of the dataset. I would describe
this data as all
-
encompassing of the participants in the resea
rch. This measure of the variable allows us
to view the attitudes of the participants in this dataset. An example of a research question that this
Categorical
Statistics
HAVE GUN IN HOME
N Valid 344
Missing 163
Mean 1.89
Median 2.00
Mode 2
Std. Deviation .381
Variance .145
HAVE GUN IN HOME
Frequency Percent Valid Percent
Cumulative
Percent
Valid YES 46 9.1 13.4 13.4
NO 290 57.2 84.3 97.7
REFUSED 8 1.6 2.3 100.0
Total 344 67.9 100.0
Missing IAP 163 32.1
Total 507 100.0
The categorical variable that I used for this discussion was the nominal variable of having a gun in the
home. The mean of the data is 1.89. The median of the data is 2.00. The mode of the data is 2. The
standard deviation in this data is .38. In this instance I feel that the median or average would be the best
measure of central tendency. An appropriate measure of variation is the mean of the respondent’s
feelings towards owning a gun or having it in the home. The variance of the data is .145. This
information would provide us with the average of the participants who have at least one gun in the
home. This measure would give us a better look at the entire picture of the dataset. I would describe
this data as all-encompassing of the participants in the research. This measure of the variable allows us
to view the attitudes of the participants in this dataset. An example of a research question that this
