Task 1: Summarising Data

Demographics

The company has 474 employees composed of 216 males and 258 females. The average salary paid by the company is £5441.36. The highest earning employee is paid £25876.91, while the lowest earner in the company takes £2304.25. The income disparity between the lower earner and the highest earner is £23037.04. On average, most employees earn £4787.21. The average age of most employees is 37.186 years and the oldest person is 64.50 Years while the youngest person in the company is 23 years old. Most of the employees are 30 years. The mean salary now is13819.093 and the lowest salary now is £2807.42 while the highest salary now is £43896.31. Most people earn salaries above average.

Tem main issue facing the company include

1. Gender inequality. There are fewer women compared to men. For example, there are 216 female employees compared to 256 men.

2.   Gender is also seen in incomes as the salary of some employee is relatively lower as compared to the salary of the male employees in the same position.

3. Most of the people in the higher position are men compared to only a few women.

4. Finally, the income or salary despite is also higher as the highest income earner takes home £54100 and the lowest salaried employees earn £2807.42. The range of the salary now is £41080.77.

5. The management need to understand the despite and sand implement solution aimed at ensuring that there equality in the company (Decker, Kipping, and Wadhwani, 2015).

 There are trey variables. 

1. Classify the ten variables by type (that is, nominal, ordinal, interval, ratio-scale), and say whether 1. They are quantitative or qualitative.

Variable	Type	Data type
IDNUM	ordinal	Quantitative
SEX	nominal	qualitative
SALBEG	ordinal	Quantitative
AGE	ratio-scale	Quantitative
SALNOW	ordinal	Quantitative
JOBCAT	nominal	Quantitative
ISWELSH	nominal	qualitative
EDLEVEL	nominal	Quantitative
AGEBAND	interval	Quantitative
SALNBAND	interval	Quantitative