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Analyzing and Interpreting Data

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Analyzing and Interpreting Data
Leontyne Powell, Omyni, Kahlil Jackson
Harrell
QNT 351
February 26, 2015
Professor Jonte Lee

Analyzing and Interpreting Data
Introduction
The purpose of this report is to analyze both Ballard Integrated Managed Services, Inc. initial survey and survey B workforce. The first survey results failed to reveal the problems within the workforce that BIMS needs to identify and solve the issues of low morale and high turnover with the organization. This report will analyze B survey, explain the results, and provide a recommendation for the problems uncovered the analysis of BIMS workforce. This report will define statistics and introduce how to analyze and interpret data. The case study used in this report is BIMS LLC, a cleaning, and housekeeping company. This report will present how number data and graphing is used in analyzing data. This report will present an explicit hypothesis. This report will conclude with precise resolutions that will assist the company to move onward to a superior company. Statistics is the science of accumulating and assessing numerical evidence in an enormous measure, especially for the determination of reducing proportions in total from those in a descriptive sample. There are two types of statistics, and one is called descriptive and the other inferential. Descriptive statistics is a technique used to organize, summarize, display facts in a useful manner. Inferential statistics is the procedure used to measure assets of a population on the basis of a model. The description the part that statistics plays in the decision-making process in business is critical. In business, the proposal has statistics to display either how the business will grow or how it will not sustain its profit. Statistics is desired to build assurance in the product or in what a company is selling or kind of service that the

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