Final answer:
The managers used a stratified sampling method by dividing the company into divisions based on job similarity and then taking a simple random sample from each division.
Step-by-step explanation:
Understanding Sampling Methods
In the scenario provided, the managers have employed a stratified sampling method to gather information from employees. To elaborate, they divided the company into various divisions or strata, where each division consists of employees who share similar job characteristics. Subsequently, a simple random sample (SRS) was selected from each stratum. This approach ensures that all divisions are represented in the sample, thereby improving the accuracy and representativeness of the findings regarding employee satisfaction.
Cluster Sampling: Involves selecting entire groups or clusters of subjects, typically at random, from a population. All individuals within the chosen clusters are then included in the sample.
Stratified Sampling: The population is divided into subgroups (strata) based on a specific characteristic, and a random sample is drawn from each of these groups.
Systematic Sampling: A sample is obtained by selecting every kth individual from the population list, where k is a constant.
For the given question, the managers used a stratified sample (C) as they divided the company into different divisions and then took a simple random sample from each division.