Week 5 - LT Analyzing & Interpreting Data - LT B (1) -...

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Running head: ANALYZING & INTERPRETING DATA - LT B1Analyzing & Interpreting Data - LT BJaynie L Williams, Hak Young Lee, Heather Pfeiffer, Matthew Blankenship, Rebecca Kinnett,Shatari WilburnQNT 351June 8, 2015Steven German
ANALYZING & INTERPRETING DATA - LT B2Analyzing & Interpreting Data - LT BOVERVIEWBallard Integrated Management Services Inc. (BIMS) is headquartered in New York Cityand is a support service company that offers food and housekeeping services to businesses. Theindustry average turnover rate is 55-60 percent. BIMS’s turnover rate has increased to 64% in thelast four months. The company has decided to try to find the root cause of the problem byadministering a survey to the current employees. The survey will ask questions such as: Do youlike working for BIMS? Do you like working for your supervisor? The main purpose of thesurvey is to determine why the turnover rate has increased so drastically over the last severalmonths.DATA COLLECTION INSTRUMENTSA survey will be the data collection instrument used. The survey will be given to all theBIMS employees.The survey will ask a few demographic questions so responses can be dividedby department. These questions pertain to the employee’s division, length of service, gender andwhat position they hold in the company. Along with those questions will also be another set ofquestions that will ask the employees to rank the question on a scale from 1 to 10, 1 being thebest and 10 being the worst. These questions encourage the employees to express views aboutworking conditions, shift hours, quality of training, and level of compensation, fair treatment,internal company communications, and job security. The employer hopes to gain knowledge bydoing this survey to improve employee morale which will hopefully lower the turnover rate.
ANALYZING & INTERPRETING DATA - LT B3TYPES OF DATA COLLECTEDThere were two types of data that was collected which were qualitative and quantitative.In this survey, BIMS collected qualitative data to address their concerns about employee moralein the workplace. Quantitative data can be defined as variables measured by number. Qualitativedata is information gathered that is strictly categorical. The information was measured on anumerical scale of one to five. BIMS Management scaled the data into a data set which was(Exhibit B) to outline and pinpoint the specific areas that needed improvement. BIMS alsoimplemented qualitative data when inquiring division being worked, gender, and position. BIMSalso implemented quantitative data that included the length of employment. Although the data ismeasured on a numerical scale, the data is still considered qualitative because the numericalvalues are codes and cannot be meaningfully added, subtracted, multiplied, or divided.

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Term
Fall
Professor
Scott
Tags
Statistics, Standard Deviation, Interpreting Data

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