Introduction
Essential data analysis is based around manipulation of numerical and categorical data. Using Minitab we are able to transfer data into illustrative representations. The main aim for this report is being able to distinguish between different variables and compare. I will be using data set that obtains 474 participants whom took part in salaries survey, which includes of their salaries, ethnicities, education levels.
Methodology
Using Minitab 15, user friendly software, we are able to analyse data. Excel was also used in order to change MALES in to number 1 and FEMALES into number 2, this was done in order to make it easier to analyse the data.
Terms of Reference
A set of data from a salaries survey put together in March 2005 for company XXX republic was used for to investigate the following points, I will be making use of graphs, and descriptive statistic in order to represent the relationships between the different variables.
- Breakdown by gender
- Breakdown by job category
- Breakdown by gender and job category
- Distribution of current salaries
- Distribution of current salaries by ethnicity
- Relationship of current salary to starting salary
- Relationship of starting salary to number of years of full time education
- Relationship of current salary to number of years of full time education
External secondary data will also be compared to XXX republics data to see a comparison or difference, in task 2.
Gender Count
Female 216
Male 258
N= 474
Statistical Analysis