QNT 351 week3 team paper

Topics: Prime number, Level of measurement, Data Pages: 12 (1104 words) Published: November 11, 2014
BIMS Case Study
The Ballard Integrated Managed Services has identified a significant change in their turnover rate; however, the cause of the increase has not been identified. To identify the cause BIMS decide to approach the employees with a survey that focuses on employee morale, job satisfaction, and equality. The case analysis approaches a possible solution to the problem from the statistical point of view. BIMS Overview

Ballard Integrated Managed Services, Inc. (BIMS) is a company that provides housekeeping and foodservices to large corporations and businesses. BIMS employs a total of 452 employees, including full-time workers, part-time workers, and management employees. The average turnover rate for BIMS is typically 55-60%. During the past four months, the turnover rate has increased to over 64%. Despite the efforts to get to the root of the issue causing the high turnover rate, management at BIMS has been unsuccessful. Morale is low at BIMS, and there has been an increase in the use of sick leave. The performance of workers has become insufficient, which has caused a number of complaints from clients. Data Collection

Ballard Integrated Managed Services, Inc.’s General Manager, Barbara Tucker, was concerned about why the morale in the staff went down. The HR director, Debbie Homer, developed an employee survey in order to collect data to find out why worker morale has decreased. The survey will be sent out to all employees, excluding upper management. The survey will be distributed with the employees’ bi-weekly payroll checks, with all responses to be both voluntary and anonymous. The survey questions ask the workers to share their opinions about working conditions, fair treatment, shift hours, quality of training, internal company communications, level of compensation, and job security. Types Of Data Collected

The data included in the BIMS Employee Survey provided by Ballard Integrated Managed Services, Inc., has both qualitative and quantitative data. Employees were given the opportunity to complete the survey at their leisure. The firm expects the survey to collect all necessary data for analysis. The first 10 questions provide the firm qualitative data. The instructions inform employees to answer the questions by circling the number closest to their view. The structure is set up to allow employees to circle numbers one through five to show their positive or negative views toward each particular question (with one being very negative and five being very positive). There are four additional quantitative questions presented (questions A-D). The questions address work division, years of service, gender, and employee level. The survey presented two the two types of variables. While the first 10 questions provided the qualitative data, the last 4 questions provided the quantitative data. The survey utilizes nominal, ordinal, and interval data. Nominal is used to represent items such as gender and division. Ordinal data is used to measure the number of months at BIMS. Finally, the data gathered from the first 10 questions represents interval data. Data Evaluation

There are fourteen questions on the BIMS employee questionnaire survey to be filled out by all employees. Only 78% of their employees answered the survey, out of them there is a high percentage that is dissatisfied. Food service and housekeeping employees were the departments that filled out the most surveys; as well as being the most tenured. Also noted, more men completed the survey, as well as 12 managers. A data matrix was created to present the data gathered. The data code of the following variables 1 = strongly dissatisfied, 2 = dissatisfied, 3 = neutral, 4 = satisfied, and 5 = strongly satisfied. A member of the support staff entered the data manually. The data was entered into a spreadsheet (See Appendix Exhibit A). The data was collected, analyzed, and organized; the errors in the data were discovered and remove or corrected. Sally made...
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