Data Analysis - Quantitative [online exam]

Data Analysis – Quantitative

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
1. Presenting the significant difference in the years in formal education between the types of
job................................................................................................................................................3
2. Describing the predictive model of Job income......................................................................8
3. Analyzing employment is significantly lower for female compare to male respondents......10
CONCLUSION..............................................................................................................................14
REFERENCES..............................................................................................................................16

INTRODUCTION
Data analysis in quantitative study is all about analyzing the number based data that can
be used by various statistical techniques. The present report will highlight various inferential
statistic used in the present report to describe the relationship between the variables. The study is
based upon the case study of local store who is deciding whether store should or not issue a
credit card to their applicants.
1. Presenting the significant difference in the years in formal education between the types of job
In order to determine the significant differences, one –way anova as an inferential
statistical tool has been used that assist to examine the relationship between formal education and
type of jobs (Saeidi, Izanloo and Izanlou, 2020).
H0: (Null hypothesis): There is no significant difference between the years in formal education
between the type of jobs.
H1: (Alternative hypothesis): There is a significant difference between the years in formal
education between the type of jobs.

Descriptive
Type of job
N Mean Std.
Deviation
Std.
Error
95% Confidence Interval
for Mean
Minimum Maximum
Lower
Bound
Upper
Bound
.00 1 .0000 . . . . .00 .00
4.00 1 .0000 . . . . .00 .00
5.00 3 .0000 .00000 .00000 .0000 .0000 .00 .00
6.00 14 .5714 .85163 .22761 .0797 1.0631 .00 2.00
7.00 8 .7500 .70711 .25000 .1588 1.3412 .00 2.00
8.00 9 .8889 .92796 .30932 .1756 1.6022 .00 2.00
9.00 20 .7000 .80131 .17918 .3250 1.0750 .00 2.00