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# Women Discrimination in the Banking Industry - Research Paper Example

Summary
This inform about discrimination problem is based on data of a certain bank. This bank provides information about relevant variables such as gender, employment category, education level, previous experience in moths, beginning salary, current salary, minority classification, age in months, and months since hire.

## Extract of sampleWomen Discrimination in the Banking Industry

Download file to see previous pages... Considering the above premise, we have run different statistics analyses. Firstly, in order to have an idea of raw data, we have run descriptive statistics of the above variables presented. Secondly, we run ANOVA models, comparing beginning and current salaries between men and women in order to search for statistically significant differences. Thirdly, in order to go deeper in the analysis of discrimination, we use multiple regression analysis (MRA). Using MRA, we intend to get aware about the real differences of salaries between men and women after controlling for a number of variables. Finally, we conclude the report with discussion of the findings.
Descriptive statistics of table 3 shows that the mean educational level of the workers in the sample bank is nearly 14 years. The mean previous experience of the employees is almost 96 months. The mean age is roughly 35 years. The beginning salary is \$17,016 and the average current salary is \$34,419.
In table 4, we can see the distribution of men and women across the different employment categories in the bank. We can observe that in the clerical category the participation of men and women is similar. However, more women are employed as clerical.
For the custodial and managerial category, the majority of the employees are men.

Table 4: Gender and Employment Category

Employment Category
Total

Clerical
Custodial
Manager

gender
male
Count
157
27
74
258

% within Employment Category
43,3%
100,0%
88,1%
54,4%

female
Count
206
0
10
216

% within Employment Category
56,7%
,0%
11,9%
45,6%

Total
Count
363
27
84
474

The results of ANOVA analysis are presented in table 5. We can observe that there are statistically significant differences between the beginning and current salaries of men and women. The average beginning salary of men is \$20,301, and the average beginning salary of women is \$13,091. For current salary the averages are \$41,441 for men and \$26,031 for women. The two averages are statistically significantly different. The F statistic for the beginning salary shows that the difference between men and women is statistically higher than that of current salary. However, with the ANOVA ...Download file to see next pagesRead More
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