QNT 351 Week 5 Team Paper
Analyzing and Interpreting Data
QNT/351 – Quantitative Analysis for Business
Mark Alsakka
September 22, 2014
Analyzing and Interpreting Data
Introduction
A nationwide company, Ballard Integrated Managed Services (BIMS) contracts with large organizations that prefer to focus on their own core competencies and lease support functions to outside vendors. Ballard Integrated Managed Services (BIMS) distinguishes itself in this highly competitive industry by combining several services: housekeeping, foodservice, general cleaning, and physical plant maintenance. (The University of Phoenix material, 2014, p.1). Though lately BIMS had noticed a rise in employee turnover as well as an increase in the use of employee sick time and a lapse in employee performance, in order to determine the cause of this change a survey was sent out to employees to gage their reactions. From the results of the survey the company can understand what caused the change in employee turnover, sick time, and employee underperformance and form a plan to improve employee/employer relations.
Data Collected Most of the data collected would be considered quantitative because there are numbers associated with the collection of data (McClave Al, 2011). The quantitative data is the compilation of the numbered responses for each question which helps determine how each employee felt in regards to the associated question. The qualitative data is data that is not associated with numbers (McClave Al, 2011). The types of data collected in the survey are ‘if the employee is a manager or supervisor,’ ‘gender,’ and ‘department.’ Although the survey was designed to use a number system to determine these categories, the actual categories would not be considered quantitative because they are considered traits of each employee.
The types of measurement variables within an experiment are nominal, ordinal, interval, and ratio (McClave Al, 2011). There were different variables measured that would
QNT/351 – Quantitative Analysis for Business
Mark Alsakka
September 22, 2014
Analyzing and Interpreting Data
Introduction
A nationwide company, Ballard Integrated Managed Services (BIMS) contracts with large organizations that prefer to focus on their own core competencies and lease support functions to outside vendors. Ballard Integrated Managed Services (BIMS) distinguishes itself in this highly competitive industry by combining several services: housekeeping, foodservice, general cleaning, and physical plant maintenance. (The University of Phoenix material, 2014, p.1). Though lately BIMS had noticed a rise in employee turnover as well as an increase in the use of employee sick time and a lapse in employee performance, in order to determine the cause of this change a survey was sent out to employees to gage their reactions. From the results of the survey the company can understand what caused the change in employee turnover, sick time, and employee underperformance and form a plan to improve employee/employer relations.
Data Collected Most of the data collected would be considered quantitative because there are numbers associated with the collection of data (McClave Al, 2011). The quantitative data is the compilation of the numbered responses for each question which helps determine how each employee felt in regards to the associated question. The qualitative data is data that is not associated with numbers (McClave Al, 2011). The types of data collected in the survey are ‘if the employee is a manager or supervisor,’ ‘gender,’ and ‘department.’ Although the survey was designed to use a number system to determine these categories, the actual categories would not be considered quantitative because they are considered traits of each employee.
The types of measurement variables within an experiment are nominal, ordinal, interval, and ratio (McClave Al, 2011). There were different variables measured that would
References: McClave, J.T., Benson, P.G., & Sincich, T. (2011). Statistics for business and economics (11th ed.) University of Phoenix Material, (2014). Retrieved from http://Ballard Integrated Managed Services, Inc., Part 1. University of Phoenix Part two. (2014). Retrieved from Ballard Integrated Managed Services, Inc., part two.