Financial Statistics: Relationship Between Variables and Income Level

Financial statistics
Financial statistics
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Financial statistics
Executive summary
This business study was conducted in order to find out the relationship between variables and
how independent variables such as age, gender and occupation affected income level. The
research also sought to answer various hypotheses. For example, was there significant
relationship between age group and amount of income? The method of data collection that was
used in this study was through the use of questionnaire. Sampling was done through simple
random sampling since it was easier and took less time. Some of the statistics computed were
measures of central tendencies like mean and median. Measures of spread such as standard
deviation and variance were determined. The results of this research were presented in tables and
graphs. It was found that there were more female (33) than male (27). It was also found that there
was no significant difference in mean total income between technician traders and professionals.
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Financial statistics
TASK 2: DESCRIPTIVE STATISTICS
gender
Frequency Percent Valid Percent Cumulative
Percent
Valid
Male 27 45.0 45.0 45.0
Female 33 55.0 55.0 100.0
Total 60 100.0 100.0
Table 1
Table 1 gives the distribution of the respondents by gender. It can be observed that the females
were 33 representing 55% while the males were 27 representing 45%.
Figure 1
Figure 1 gives the distribution of the respondents by gender. It can be observed that the females
were 33 representing 55% while the males were 27 representing 45%. The graph gives a visual
representation of the results hence easy quick interpretation.
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Financial statistics
Age range
Frequency Percent Valid
Percent
Cumulative
Percent
Vali
d
Over 70 years 5 8.3 8.3 8.3
65-69 6 10.0 10.0 18.3
60-64 6 10.0 10.0 28.3
55-59 5 8.3 8.3 36.7
50-54 6 10.0 10.0 46.7
45-49 12 20.0 20.0 66.7
40-44 3 5.0 5.0 71.7
35-39 5 8.3 8.3 80.0
30-34 4 6.7 6.7 86.7
25-29 2 3.3 3.3 90.0
20-24 5 8.3 8.3 98.3
Under 20
years
1 1.7 1.7 100.0
Total 60 100.0 100.0
Table 2
Table 2 is of distribution of the respondents by age group. It can be observed that majority of the
respondents fell under the age of between 45 and 49 years. They were 12 representing 20%.
There was only one person who was under 20 years constituting to 1.7%. The total number of
those who participated in the survey was 60 in total.
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