Analyzing and Interpreting Data
Analyzing and Interpreting Data Team “A”
Mona Anderson, Jeanine Camacho, Mary Hopkins
QNT/351
April 25, 2013
John Carroll
Analyzing and Interpreting Data Our team has collected, summarized, and interpreted data from the employee survey during the third and fourth weeks of investigation. Findings from the first survey reported that a second survey will be pre-tested before distribution to the employees to ensure effectiveness. The survey questions will be written differently or a new set of questions will be addressed. The intent for the new survey is to analyze and interpret the new data from the second survey prior to making suggestions to senior management regarding the source of employee dissatisfaction prior to creating a model that predicts employee resignation.
Summarizing and Presenting Data Our team made revisions from the week two report based on a previously unidentified problem relating to the staff’s weakening morale and a high turnover rate at Ballard Integrated Managed Services, Incorporated. Summarized surveyed data in the BIMS case study will be analyzed by computing descriptive statistics in the form of tables, charts, measures of central tendency, and variability. Conclusions will be drawn from the data and recommendations of the management will be identified.
BIMS Overview Barbara Tucker works for Ballard Integrated Managed Services, Inc. and her position is the general manager of Douglas Medical Center (DMC). Tucker’s duties are to oversee three division managers responsible for the food service, hospitality, and maintenance divisions at DMC. The total of staff at BIMS is 452 workers. The turnover rate because of low-skill nature of the positions, is usually 55% to 60% (which is common for the industry) at DMC. In the last four months the turnover rate has increased to 64%, causing an increase in turnovers, costs, an increase of sick time, workers wasting time in the day, work quality has declined, and complaints
Mona Anderson, Jeanine Camacho, Mary Hopkins
QNT/351
April 25, 2013
John Carroll
Analyzing and Interpreting Data Our team has collected, summarized, and interpreted data from the employee survey during the third and fourth weeks of investigation. Findings from the first survey reported that a second survey will be pre-tested before distribution to the employees to ensure effectiveness. The survey questions will be written differently or a new set of questions will be addressed. The intent for the new survey is to analyze and interpret the new data from the second survey prior to making suggestions to senior management regarding the source of employee dissatisfaction prior to creating a model that predicts employee resignation.
Summarizing and Presenting Data Our team made revisions from the week two report based on a previously unidentified problem relating to the staff’s weakening morale and a high turnover rate at Ballard Integrated Managed Services, Incorporated. Summarized surveyed data in the BIMS case study will be analyzed by computing descriptive statistics in the form of tables, charts, measures of central tendency, and variability. Conclusions will be drawn from the data and recommendations of the management will be identified.
BIMS Overview Barbara Tucker works for Ballard Integrated Managed Services, Inc. and her position is the general manager of Douglas Medical Center (DMC). Tucker’s duties are to oversee three division managers responsible for the food service, hospitality, and maintenance divisions at DMC. The total of staff at BIMS is 452 workers. The turnover rate because of low-skill nature of the positions, is usually 55% to 60% (which is common for the industry) at DMC. In the last four months the turnover rate has increased to 64%, causing an increase in turnovers, costs, an increase of sick time, workers wasting time in the day, work quality has declined, and complaints
References: Lind, D.A., Marchal, W.G., & Wathen, S.A. (2011). Basic statistics for business and economics (7th ed.). New York, NY: McGraw-Hill/Irwin. McClave, J.T., Benson, P.G., & Sincich, T. (2011). Statistics for business and economics (11th Ed.). Boston, MA: Pearson-Prentice Hall.