Assignment Type
Subject
Uploaded by Malaysia Assignment Help
Date
Start: Week 2
Due Date/s: Week 4
This “Employee’s Annual Salary” dataset consists of 2000 employees and includes quantitative and qualitative variables related to employee salary, performance, and workplace characteristics. The dataset is structured as follows:
Attribute | Description |
---|---|
Gender | Employee gender (Male, Female) |
Job Role | Type of job (e.g., Manager, Developer, HR Specialist) |
Department | Business function (e.g., IT, Sales, HR) |
Salary | Employee’s annual salary |
Years of Experience | Total years of work experience |
Education Level | Employee’s highest level of education (Diploma, Bachelor’s, Master’s, PhD) |
Projects Completed | Number of projects completed by the employee |
Work Mode | Work arrangement (Remote, On-site, Hybrid) |
Work Hours Per Week | Average weekly working hours |
Performance Rating | Employee’s performance rating (scale of 1 to 5) |
Ensure that you start your analysis with the data cleaning process.
Using the provided “Employee’s Annual Salary” dataset, create a Pivot Table for each of the following: –
Write a short summary for each table explaining the key insights from the data.
Prepare the following charts for each of the given categories:
Write a short summary for each chart explaining the key insights from the data.
Perform an independent samples t-test to determine whether there is a significant difference in average “Salary” based on “Gender”. Ensure that you check the assumption of equal variances, report the t-statistic and p-value, and provide a brief interpretation of the results.
Perform a regression analysis to examine the relationship between “Years of Experience” and “Salary.” Interpret the regression results by analysing the coefficients, the significance of the findings, and the overall fit of the model. Additionally, discuss any limitations of the model and its practical implications.