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Statistical Analysis of Milwaukee Employers' Hiring Practices for Entry-Level Workers

November 08, 2023
Colton Gill
Colton Gill
🇨🇦 Canada
Business Intelligence
Colton Gill is the Best Business Intelligence Assignment Helper with 8 years of experience and has completed over 2000 assignments. He is from Canada and holds a PhD in Statistics from McMaster University. Colton specializes in business intelligence, providing expert support to help students excel in their assignments.
Business Intelligence
Key Topics
  • Problem Description:
  • Solution
  • DESRIPTIVE STATISTICS
  • Report
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In this research project, we delve into the intricate world of hiring practices within the Milwaukee metropolitan area. Our mission is to gain a comprehensive statistical understanding of how employers approach the hiring process for entry-level workers, with a particular focus on the treatment of applicants with criminal records. Join us as we explore the data, unveil significant insights, and examine the factors that influence employers in this dynamic and diverse job market.

Problem Description:

This Statistical Analysis homework aimed to gain insights into the hiring policies and practices of employers when considering entry-level workers in the Milwaukee metropolitan area. The study sought to uncover the employer's disposition towards applicants with criminal records and whether such records affected these applicants more unfavorably than other marginalized groups. Furthermore, the research aimed to understand the role played by the type of crime or context of sanctions in an employer's evaluation. Additionally, the study sought to investigate the formal criteria used by employers to evaluate entry-level applicants. Lastly, it examined how various job characteristics, company attributes, and labor market conditions influenced an employer's willingness to consider applicants with prior criminal records.

Solution

Variables of Interest

A2B –MINORITY-OWNED COMPANY: whether the company is owned by a minority group (Binary: Yes/no)

G5 – BUSINESS HIRED CRIMINAL BACKGROUND: whether the company has hired an employee with criminal background (Binary: Yes/No)

C6C –APPLICANTS INTERVIEWED: the proportion of applicant interviewed by the respondent (Numeric %)

C43C –RESPONDENT AGE: Age of respondents (Numeric: years)

C2A – EMPLOYEE RACIAL BACKGROUND: race of the employee (Categorical: 4 levels)

CA7 – APPLICANTS – BLACK: whether the applicant is Black (Numeric)

C7B – APPLICANTS – HISPANIC: whether the applicant is Hispanic (Numeric)

CB19 – APPLICANTS – WHITE: whether the applicant is White (Numeric)

C21_A – STARTING WAGE DOLLARS: Starting Salary (Numeric)

DESRIPTIVE STATISTICS

Table 1: Summary statistics

VariableObsMeanStd. Dev.MinMax
applicants interviewed1648.19512212.648080100
respondents’ age16639.3674711.593251875
APPLICANTS – BLACK15026.4333323.617310100
APPLICANTS – HISPANIC14913.9865813.9211079
APPLICANTS – WHITE15356.254928.136310100
STARTING WAGE DOLLARS1421954.9658249.228255000
MINORITY-OWNED COMPANYFreq.Percent
Yes148.38
No15391.62
Total167100
BUSINESS HIRED CRIMINAL BACKGROUND
Yes7547.47
No8352.53
Total158100
EMPLOYEE RACIAL BACKGROUND
White9460.26
Black3623.08
Hispanic1610.26
Others106.41
Total156100
histogram1

Fig 1:Histogram

pie-and-bar-chart

Fig 2: Pie and Bar Chart

Report

Table 1 presents the summary statistics of the continuous variables in the model. The result showed that average value of applicants interviewed is 8.19 while the variation around the mean measured by standard deviation is 12.65. The number of valid observation is 164. The lowest value of applicants interview is 0 and the highest is 100. Average value of respondents’ age viewed is 39.37 while the variation around the mean measured by standard deviation is 11.59. The number of valid observation is 166. The lowest value of respondents’ age is 18 and the highest is 75. In addition, average value of black applicant is 26.43 while the variation around the mean measured by standard deviation is 23.61. The number of valid observation is 150. The lowest value of black applicant is 0 and the highest is 100. Average value of hispanic applicant is 26.43 while the variation around the mean measured by standard deviation is 23.61. The number of valid observation is 149. The lowest value of Hispanic applicant is 0 and the highest is 100. Average value of White applicant is 56.25 while the variation around the mean measured by standard deviation is 28.14. The number of valid observation is 149. The lowest value of Hispanic applicant is 0 and the highest is 100.

Table 2 presents the frequency distribution of the categorical variables. The result showed that 60.26% of the respondents are white, 23.08% are black, 10.26% are Hispanic while 6.41% belong to other race. 8.38% of the organization sampled are minority owned while 91.62% are not. Finally, 47.7% of the firms sampled hired workers with criminal background while 52.53%. The same information is presented graphically in fig 2. Fig 1 presents histogram for applicant’s interviewed, respondents age and starting wage in dollar. The plot showed that none of the variables is symmetric.

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