Week 3 Team A BIMS Summarizing and Presenting Data

QNT/351 Quantitative Analysis for Business
June 2, 2014

Summarizing and Presenting Data
In both employee surveys, BIMS used all three levels of measurement to analyze the data collected. In reviewing the findings from the employee survey, the ultimate goal was to get the overall census of the employees on the survey questions. These survey questions were engineered to evaluate the satisfaction level of the employees at BIMS and to reveal the underlying issues and continuous concerns that were causing the high turnover and low morale at BIMS. The interval level of measurement was used to display the employee’s length of employment and a numeric code was used to describe the nominal, ordinal and interval data. Descriptive statistics was used to show the mean, median, mode and central tendency of the data. An analysis of each survey question was broken down, and the interpretation displayed on tables, charts and graphs. These graphs give an overall visual description of the answers to each question. After all the data had been analyzed, displayed, and interpreted, the outcome shows that BIMS was experiencing high turnover due to low pay and lack of communication within the organization. Descriptive Analysis The intention of descriptive analysis is to provide a clear understanding through the use of graphical and numerical visual of the patterns and unique trends in the data set of interest. The inferences made through these resources will provide valuable information for the decision-makers of BIMS. Gaining clarity allows BIMS to move forward with forecasting and apply problem resolutions for the future. The analysis captured by the targeted to the working condition and internal demographics; however, the management is aware that only 78 employee responses produced the