and data must be gathered to make sure that all details match and that all requirements are met. It would be safe to assume that our theory that the larger the house and the more rooms a house has‚ the more expensive the price of the house will be. The three major variables in our data summary are: number of bedrooms‚ size of the house‚ and number of baths. According to our information compiled (see attached excel file for mega stat)‚ the measure of tendency that best represents the data set
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Summarizing and Presenting Data Team B: Timothy Sosa‚ Gregory Moreno‚ Janice Cruz QNT/351 March 23‚ 2015 Steve Roussas Summarizing the Data The data collected in the BIMS case study had two major errors. The first error was when the office support staff member made the decision to use “0” if the employee did not answer the question. Two out of the ten questions received a response from each employee who completed the survey. About 17 employees provided a no response in eight of the questions and
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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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for grammatical errors and work on sentence structure. You might one to have additional references to strength you related literature. Overall‚ you did a nice job. 7.75/8.0 BIMS Research Study Overview Headquartered in New York City‚ The Ballard Integrated Managed Services (BIMS) is a support service company that specializes in providing housekeeping and food services to many corporations and institutions to include 22 Fortune-100 businesses. The focus of the research is the BIMS site at Douglas
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Analyzing and Interpreting Data Ballard Integrated Managed Services (BIMS) conducted an internal survey for 440 employees‚ excluding top management‚ asking 10 questions on morale and four questions on demographics. BIMS upper management noticed a change in staff morale and an increase in the staff turnover rate‚ which initiated the survey. Barbara Tucker‚ General Manager‚ wants to discover what is making employees want to leave and has enlisted the help of Debbie Horner. Debbie Horner‚ human
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BIMS Case Study The Ballard Integrated Managed Services has identified a significant change in their turnover rate; however‚ the cause of the increase has not been identified. To identify the cause BIMS decide to approach the employees with a survey that focuses on employee morale‚ job satisfaction‚ and equality. The case analysis approaches a possible solution to the problem from the statistical point of view. BIMS Overview Ballard Integrated Managed Services‚ Inc. (BIMS) is a company that provides
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Techniques for Summarizing Quantitative Data frequency histogram A sample of 40 female statistics students were asked how many times they cried in the previous month.Their replies were as follows: Stem-Leaf Plot A natural way to organize (group) quantitative data is with the order property of the real numbers‚ i.e.‚ arrange the data from least to greatest. For example‚ the 30 weights: 185‚ 160‚ 235‚ 165‚ 125‚ 175‚ 185‚ 132‚ 168‚ 112‚ 170‚ 155‚ 105‚ 158‚ 120‚ 190‚ 140
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credit customers is selected with data collected on the following five variables: 1. LOCATION (Rural‚ Urban‚ Suburban) 2. INCOME (in $1‚000 ’s – be careful with this) 3. SIZE (Household Size‚ meaning number of people living in the household) 4. YEARS (the number of years that the customer has lived in the current location) 5. CREDIT BALANCE (the customers current credit card balance on the store ’s credit card‚ in $). |PROJECT PART A: Exploratory Data Analysis
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Chapter 3 Summarizing Data 0.1 0.2 Introduction...........................................................................Error! Bookmark not defined. A Section Title .......................................................................Error! Bookmark not defined. Demonstration: ............................... Error! Bookmark not defined. Exercises ................................................................................... Error! Bookmark not defined. 0.3 0.4 Chapter Summary .
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Unit 1 Problem Set 1: Using Statistical Thinking and Summarizing Data 1. (Page 11 #26) – a. Yes b. Yes‚ because there is about a 1 chance in 1000 of getting the types of success rates generated through the study. c. Yes‚ because a 92% success rate is a much better result than a 72% success rate. d. Yes‚ after the study has been conducted numerous times to have validity. 2. (Page 17 #30) – a. The sample are the 1012 randomly surveyed adults. b. The population is that of all adults.
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