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(Solved) Running Head: GENERAL SOCIAL SURVEY 2014 General Social Survey Name: College: Course: Date: Sept 08,2016 1 GENERAL SOCIAL SURVEY 2014 2 INTRODUCTION...


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Running Head: GENERAL SOCIAL SURVEY 2014 General Social Survey
Name:
College:
Course:
Date: Sept 08,2016 1 GENERAL SOCIAL SURVEY 2014 2 INTRODUCTION
General Social survey is a sociological survey used to collect information and keep a
historical record of the concerns, attitude, experiences and practices of the residents of US.
Here we will analyse data with respect to year 2014.We will select few variables from the
General Social Survey dataset for the year 2014.
VARIABLES
The variables taken from the GSS 2014 are as follows:
Variable naming
adults
age
childs
citizen
hrsrelax
income06 Variable meaning
Household members 18year or older
Age of respondent
Number of Children
Are you a citizen of America?
Hours per day R have to relax
Total family income Categorical or Quantitative
Quantitative
Quantitative
Quantitative
Qualitative
Quantitative
Qualitative a)Adults
For the variable ,”adults” it will be better if we use the bar chart because the number of
children is a discrete variable and hence the frequency of the number of children will be
better represented in the bar chart. HOUSEHOLD MEMBERS 18 YRS AND OLDER
Cumulative
Frequency
Valid Percent Valid Percent Percent 1 828 32.6 32.7 32.7 2 1318 51.9 52.1 84.9 3 264 10.4 10.4 95.3 4 89 3.5 3.5 98.8 5 23 .9 .9 99.7 GENERAL SOCIAL SURVEY 2014 6 6 .2 .2 100.0 7 1 .0 .0 100.0 2529 99.6 100.0 9 .4 2538 100.0 Total
Missing 3 NA Total Explanation:From the above bar graph it is clear that most of the respondents households has
2 adult members with a frequency of 1318 followed by adult member with frequency of 828.
b) Age of respondent
It is a quantitative variable. As age is a continuous variable therefore it would be better if we
use descriptive statistics in analysing the variable. GENERAL SOCIAL SURVEY 2014 4 Descriptive Statistics
N Range AGE OF RESPONDENT 2529 Valid N (listwise) 2529 Minimum 71 Maximum 18 89 Mean Std. Deviation 49.01 17.412 From the above table it is clear that the mean age of 2529 respondent is 49.01 years with a
standard deviation of 17.412 year.
c) Childs
It is also discrete as it depicts about the total children respondent have in his household.
Therefore a bar graph will be best to represent this variable.
Bar Graph NUMBER OF CHILDREN
Cumulative
Frequency
Valid Total Valid Percent Percent 0 704 27.7 27.8 27.8 1 419 16.5 16.6 44.4 2 658 25.9 26.0 70.4 3 394 15.5 15.6 86.0 4 198 7.8 7.8 93.8 5 88 3.5 3.5 97.3 6 40 1.6 1.6 98.9 7 14 .6 .6 99.4 EIGHT OR MORE 15 .6 .6 100.0 2530 99.7 100.0 8 .3 2538 100.0 Total
Missing Percent DK NA GENERAL SOCIAL SURVEY 2014 5 It can be said from the graph that most of the households has either 0 or 2 children as the
frequency is 704 for 0 children and 658 for 2 children.
d)citizen
The variables ask the respondents whether they are citizen of America or not. The frequency
table is shown below with the bar graph and pie chart as both could be used. ARE YOU A CITIZEN OF AMERICA?
Cumulative
Frequency
Valid YES
NO
Total Percent Valid Percent Percent 1186 46.7 93.4 93.4 84 3.3 6.6 100.0 1270 50.0 100.0 GENERAL SOCIAL SURVEY 2014
Missing IAP 1264 49.8 NA 4 .2 1268 50.0 2538 100.0 Total
Total Pie Chart 6 GENERAL SOCIAL SURVEY 2014 7 The above pie chart says almost all of the respondents are citizen of America with a valid
percent of 93.4%. e)hrsrelax
It is a continuous variable which corresponds to number of hours respondent relax per day.
Thus descriptive statistics will be e better choice to explain the variable. Descriptive Statistics
N
HOURS PER DAY R HAVE TO RELAX 1233 Valid N (listwise) 1233 Range Minimum Maximum Mean Std. Deviation
24 0 24 3.61 2.583 GENERAL SOCIAL SURVEY 2014 8 From the valid case the mean number of hour’s respondent relax per day is 3.61 hour with a
standard deviation of 2.583 hour.
f) income 06(Total family income)
Here the total family income has been grouped under various categories which is discrete
such as.”1” represent income under $1000,”2” represent income from $1000 to $2999 etc.
Therefore histogram plot will be better to see which group or categories most of the family
income lies.
TOTAL FAMILY INCOME
Frequency
Valid Valid Percent Cumulative Percent UNDER $1 000 38 1.5 1.6 1.6 $1 000 TO 2 999 29 1.1 1.3 2.9 $3 000 TO 3 999 20 .8 .9 3.8 $4 000 TO 4 999 12 .5 .5 4.3 $5 000 TO 5 999 22 .9 1.0 5.2 $6 000 TO 6 999 18 .7 .8 6.0 $7 000 TO 7 999 16 .6 .7 6.7 $8 000 TO 9 999 51 2.0 2.2 8.9 $10000 TO 12499 84 3.3 3.6 12.5 $12500 TO 14999 64 2.5 2.8 15.3 $15000 TO 17499 66 2.6 2.9 18.2 $17500 TO 19999 50 2.0 2.2 20.3 $20000 TO 22499 69 2.7 3.0 23.3 $22500 TO 24999 86 3.4 3.7 27.0 $25000 TO 29999 123 4.8 5.3 32.3 $30000 TO 34999 141 5.6 6.1 38.4 $35000 TO 39999 104 4.1 4.5 42.9 $40000 TO 49999 173 6.8 7.5 50.4 $50000 TO 59999 208 8.2 9.0 59.4 $60000 TO 74999 227 8.9 9.8 69.2 $75000 TO $89999 172 6.8 7.4 76.6 $90000 TO $109999 167 6.6 7.2 83.8 $110000 TO $129999 94 3.7 4.1 87.9 $130000 TO $149999 73 2.9 3.2 91.1 207 8.2 8.9 100.0 2314 91.2 100.0 126 5.0 98 3.9 $150000 OR OVER
Total
Missing Percent REFUSED
DK GENERAL SOCIAL SURVEY 2014
Total
Total 9
224 8.8 2538 100.0 Histogram Plot From the above we can say that most of the family income lie between the range of $25000
and above. GENERAL SOCIAL SURVEY 2014 10 CONCLUSION
From the above graph and tables it is clear that discrete variable can be better represented
using bar graph or pie chart whereas for continuous variable, it is better to use descriptive
statistics which analyses the mean and standard deviation of the variable. GENERAL SOCIAL SURVEY 2014 11 REFERENCES
Miller, I., Miller, m., Freund, J. E., & Miller, I. (2004). John E. Freund's mathematical
statistics with applications. Upper Saddle River, NJ: Prentice hall.
Rice, J. A. (1995). Mathematical statistics and data analysis. Belmont, CA: Duxbury Press.

 


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