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QNT 351 Week 5 Team Paper

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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 …show more content…

If BIMS wants to get to the real heart of the problem they will need to reformat and add some questions to another survey, find a computer program to aid them and possibly get down and talk to the people to find out what is making a lot of people leave.
The below chart depicts how questions 1-10 were answered. Based on the color-coded responses, it is apparent that most employees have answered 2, which is closest to ‘very negative.’ This chart helps one to understand that the overall vibe of the employees is more negative than positive. Charts of this nature can be beneficial to the organization to analyze data visually. Based on our other research, the most common response from the employees is option 2, which is aligned with negative input.

“A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data (Laerd Statistics, 2013).” In terms of statistical data, the measurements could be mean, median, and mode. “The mean is equal to the sum of all the values in the data set divided by the number of values in the data set, the median is the middle score for a set of data that has been arranged in order of magnitude, and the mode is the most frequent score in our data set (Laerd Statistics, 2013).” BIMS can benefit from this type of statistical data because the company can get a good picture of the satisfaction

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