Analyzing and Interpreting Data QNT/351 September 16‚ 2014 Analyzing and Interpreting Data BIMS management team has been facing a major dilemma of high turnover and extremely low employee morale. BIMS management team has asked Team B to help identify the main cause of the high turnover and low morale and propose an acceptable solution that will result in a decrease of both. Data Collection Conclusion In the past few months we at BIMS have learned‚ thru the drop in employees that the company’s
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QNT/351 December 23‚ 2013 Dr. Bernadette Whitehead The Ballard Integrated Managed Services (BIMS) their main office is in New York City that provides housekeeping and food service to different corporations and institutions throughout the country. BIMS main focus is their core competencies with contracts along with large organizations. They also provide lease support to outside vendors. BIMS clientele consist of 22 fortune 100 companies‚ 100 average firms‚ 16 high ranking
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Analyzing and Interpreting Data Team X QNT/351 Analyzing and Interpreting Data The ultimate goal of descriptive statistics is to describe a set of data‚ identify patterns‚ and draw a conclusion‚ which enables an organization to make effective and informed decisions (McClave‚ Benson‚ & Sincich‚ 2011). The company‚ Ballard Integrated Managed Services (BIMS)‚ a support services company will leverage statistics to gather information on the company’s employees to analyze and identify patterns
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Overview of Ballard Integrated Managed Services Isaac Joyner‚ Patty Hunt‚ Sheri Iannazzo‚ Tim Smith‚ Wendy Shanahan QNT/351 Quantitative Analysis For Business University of Phoenix Dr. Charles Lindner June 6‚ 2013 Overview of Ballard Integrated Managed Services Ballard Integrated Managed Services (BIMS) is a nationwide company with headquarters in New York City that provides housekeeping‚ maintenance‚ and food service to institutions and corporations on a contractual basis (UOPX‚ para
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this course. Student’s Signature: _______ _______________________ ***************************************************************** Instructor’s Grade on Assignment: Instructor’s Comments: TITLE OF RUBRIC: Auto Parts Sales Forecast Course: QNT 5040 LEARNING OUTCOME/S: (see syllabus) Date: June 6‚ 2014 PURPOSE: To facilitate effective decision making under uncertain conditions by quantifying risk. Name of Student: VALIDITY: Best practices in Forecasting Name of Faculty: Dr. Yurova
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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
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& Sincich‚ T. (2011). Statistics for business and economics (11th ed.). Boston‚ MA: Pearson-Prentice Hall. University of Phoenix. (2012). Week Two Supplement: Ballard Integrated Managed Services‚ Inc‚ Part 1. Retrieved from University of Phoenix QNT/351-Quantitative Analysis course website.
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Inferential Statistics Jaceilia Ajanaku QNT/561 April 29‚ 2015 Patricia Towne Inferential Statistics Inferential statistics can be used to qualify certain data analysis figures. These figures can be mostly found in descriptive statistics. As stated in previous research‚ the situation at hand is a human resource firm being able to acquire new personnel and process them to be ready for employment. The most important issue is the time between dates of hire to the date the personnel actually begin
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Statistics in Business Katherine Wolf QNT/275 April 3‚ 2015 Barry Adkins Statistics in Business Statistics is all about collecting numerical data‚ organizing it‚ and interpreting the data to form hypothesis. While interpreting the data we are able to draw all kinds of conclusions from weather forecasts to how much money a company is projected to make over the next year. There are different types of statistics that can be used for different outcomes. You have to first identify the
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Descriptive Statistics Carlos Duran QNT/561 April 28‚ 2015 Steven Marantz Descriptive Statistics Sales (in USD) Central Tendency: Mean = 42.824 dollars Dispersion: Standard Deviation = 9.073 dollars Number: 100 Min/Max: MIN IS $23.00; MAX IS $64.00 Confidence Interval: $1.06 to $44.62 The histogram is present in appendix A; the descriptive statistics are present in appendix B. Age Distribution: State if not normally distributed Central Tendency: Median = 35 years Dispersion:
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