APPLYING PROBABILITY ANALYSIS IN BUSINESS
A database containing demographic and job satisfaction data on employees in three departments of a hypothetical company was used to develop profiling probabilities related to specific characteristics and attitudes. All measurement data are quantitative in character. The database included information on 288 employees.
The gender distribution in the organization is 41.7 percent male and 58.3 percent female. The gender distribution in relation to employee tenure with the company is indicated in Table 1. The distribution of all 288 employees by department is indicated in Table 2.
In relation to job satisfaction, male employees were somewhat more satisfied than female employees on average. On a satisfaction scale ranging from 1 (least satisfied) to 7 (most satisfied), the mean job satisfaction score for males was 4.4308, while the mean job satisfaction score for females was 4.2583.
In a random selection of an employee from the database, the probability is .583 that the selected employee will be female. Without considering the person's gender, the probability is .674 that a person selected at random from the database will be in the 22-to-49 year old (inclusive) age bracket. Without considering either gender or the age of the person's gender, the probability is .597 that the job satisfaction score of the person selected will be 4.7 or lower.
The probability is .1007 that a person selected at random from the database will be a male assigned to the Information Technology Department. Without considering the gender or the department assignment of a person, the probability is .1458 that the person selected will be an hourly employee with an intrinsic job satisfaction score of 6 or higher.
Defining an inexperienced employee as one who either is under 22 years old or has worked for the company less than two years
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