To the head of department, American intellectual union
Re: Interpretation of Data
Dear sir/madam,
I am writing this letter to give a detailed interpretation of the survey data of our company. The information provided in the survey data presents findings about the company’s qualitative and quantitative information, which has been collected and put in a statistical description.
To help in interpretation of the information, the evaluated qualitative information comprises of the employees’ demographic data which expresses the employees’ gender, ages, titles or positions in the workplace, their work departments and the period they have worked with the company which is expressed as “tenure of the company”. Similarly, the quantitative information can be easily analyzed, as it is clearly expressed in a scale of between 1 and 7 and it consists of the overall employee job satisfaction, their intrinsic job satisfaction, their extrinsic job satisfaction and finally, their benefits.
In the case of quantitative data, the male gender is denoted by number 1 while female gender is denoted by number 2. When it comes to their ages, number 1 represents employees who are in the age bracket of between (16-21), number 2 represents the age bracket of between (22-49) with the last age bracket which lies between ages (50-65) being represented by number 3. All the employees work in either the human resource department, the information technology departments or in the administration. Finally, the survey data also shows the employee tenure with the company, whereby number 1 represents the number of employees who have worked for a period of less than 2 years, number 2 for a period of between 2 to 3 years and number 3 for those employees who have worked for a period of 5years and above.
On the other hand, the qualitative information are expressed in a scale of 1-7 where number 1 represent the least level of satisfaction and number 7 represent the highest level of satisfaction among employees.
The information represented in this survey data is of value to the company since it gives the management team and other stake holders important information that can help them in their decision making process and enable them to take appropriate measures to achieve the company’s objectives. For instance, statistics expressed in a survey data help to determine the correlations of the represented variables and their effects on the company’s issues such as the relationship between the employee’s motivation and their overall performance derived from their level of satisfaction.
Statistical data also helps to uncover critical issues undermining the company’s growth and success, for instance the effects of having a variety of employees and benefitting from their efficiency in the work places. In addition, surveys help the management to understand their employees better since it is a tool that interprets their feelings towards their job. The management or other stake holders can then use this information to improve their work environment, which can eventually reflect in their performance. Finally the statistical data representation also help the stakeholders to have a regular review of the company’s progress and thus enable them to make appropriate improvement when needed
From the survey, we can be able to derive some important information. For instance, it is very clear that gender inequality exists, as there are fewer females working in this company. There are 27 female workers as compared to 48 male workers in this company. In addition both genders are poorly distributed in the company’s departments since only 3 out of twenty seven female workers are in the human resource department while male workers are evenly distributed with many working in the information technology department. Finally, both men and women prefer working on an hourly basis since there are 50 overall hourly employees who are eligible for overtime as compared to those who are on a salary basis.
When it comes to the ‘tenure with the company’ variable the distribution of gender is of equal ratio when one compares the number of males and female respectively. The modal value is 1, which means that most of the employees have been in the company for a period of less than two years. However, many male workers have been employed for a longer period compared to the female workers as clearly indicated by a modal value of 3 for the male gender while most female are categorized against the values of 1 and 2.
The employees work in three different departments which comprise of human resource management, information technology and administration. The percentage number of employee in each department is as follows:
Human resource department
18/75 of 100 = 24%
Information technology department
29/100 of 100 = 38.7%
Administration department
28/75 of 100 =37.3%
The mean for the female workers is calculated by dividing the sum of all the female workers by the number of variables which is 207.2/75 =2.7
The probability that an employee will be in age bracket 16- 21 is calculated by the number of time a number 1 denoting the age bracket 16-21 occurs divided by the total no of employees which is 17/75 =0.23
The probability that an individual jobs satisfaction will be lower than 5.2 will calculated by the number of time a number less than or equal to 5.2 occurs divided by the no of employees. Which gives us 38/75 = o.51
The probability that a female will be working at human resource department is got by the number of times the value 1 denoting the human resource department occurs against the value 2 denoting a female worker. Which is 3/27 =0.1
The probability that salaried employees whose intrinsic satisfaction value is 5 or more will be calculated by the number of times a number more than 5 will occur divided by the no of salaried employees.
References:
Madan. S, (2002) Random variables and statistical distribution. New York, Book Power Publishing.
Harold. C, (2004) Probability Distribution. Berkeley: U of California Publishing
Charles F, (2003) Partial Identification of Probability Distribution New York, Amazon. Com
