MATH533: Applied Managerial Statistics PROJECT PART C: Regression and Correlation Analysis Using MINITAB perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X)‚ by answering the following questions: 1. Generate a scatterplot for SALES vs. CALLS‚ including the graph of the "best fit" line. Interpret. After interpreting the scatter plot‚ it is evident that the slope of the ‘best fit’ line is positive‚ which indicates that sales amount varies directly
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MATH PROJECT SELECTION LIST 1. Investigate the five "perfect" (or Platonic) solids and explain why there are only five. References: "The Mathematics Teacher"‚ April ’77‚ p. 335; I have directions for making the solids from strips of paper; NCTM Student Math Notes‚ May 1999. 2. Research an invention based on unusual geometric properties or configurations (e.g. Rolamite Bearing‚ Wankel Engine‚ Holograms‚ etc.). References: "Popular Science"‚ Feb. ’76‚ p. 106; "Popular Science"‚ Aug
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Statement of the Task This project will be conducted in the form of an investigation that aims to examine the preference of my classmates in fast food. In order to complete this project‚ I will use data collected from surveys that will be completed by twelfth graders‚ that have between 17 and 18 years old‚ of the American School of Tegucigalpa. I will randomly choose fifty students. Once I have gathered all these information‚ I will count and tally the votes in order to construct all the charts
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• Defining What Statistics Really Is 1.1 Nature of Statistics The term “Statistics” came from the Latin word ‘status’ which could be translated as ‘state’. The usage of this term only became popular during the 18 th century where they defined Statistics as “the science of dealing with data about the condition of a state or community”. The practice of statistics could be traced back even from the early biblical times where they gather figures related to governance of the state for they realized
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Department Store Industry NACIS 452111 Table of Contents Introduction…………………………………………………………………………….………… 3 The Industry’s Dominant Economic Features……………………………………………………………..……………………….…… 3 Porters 5 Forces…………...……………………………………………………..…………………………. 7 Power of Buyers…………………………………….……….…………………………….7 Power of Suppliers……………………………………….………………………………. 7 Barriers to Entry…………………………………..……………………………………… 7 Threat of Substitutes……………………………...…………...…………………………. 7 Competitive Rivalry…………………………………………
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PROJECT PART B: Hypothesis Testing and Confidence Intervals Math 533 Applied managerial Statistics. Instructor: Mr. Patrick Mayers. April 12‚ 2015 Guillermo H. Quintela. a. The average (mean) sales per week exceeds 41.5 per salesperson. The Null Hypothesis: The average (mean) sales per week is greater than or equal to 41.5 per salesperson. Ho:µ >= 41.5 The alternate Hypothesis: The average (mean) sales per week is less than or equal than 41.5 per salesperson. Ha:µ < 41.5 For a significance
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Question1: Frequency Distribution. Histograms‚ Cumulative Frequency and Ogives. 1) a) 799 b) 1000 c) 900+9992 = 949.5 d) Lower Class Boundary=1100-0.5 =1099.5 Upper Class Boundary=1199.5+0.5=1199.5 e) 100 f) 76 g) 62400×100=15.5 h) 600-699‚ the fourth class has the largest frequency of 76. i)14+46+58400 ×100=29.5% j) 48+22+6400 ×100=19.0% k) 4002=200 200 lie in the fifth class interval 700-799 ∴The median lies in this interval. =l+n2-cff×h =700+200-19468×99 =708.735 l)
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DEPARTMENT OF SOCIOLOGY‚ PSYCHOLOGY AND SOCIAL WORK SOCI 1005 (SY16C) -INTRODUCTORY STATISTICS FOR THE BEHAVIOURAL SCIENCES SUMMER SCHOOL 2012/2013- COURSE OUTLINE Lecturer: Ayesha Facey Office: Room 46‚ Faculty of Social Sciences Office #: 970-6324 E-mail: ayeshafcy@yahoo.com COURSE OBJECTIVE This course aims to introduce students to basic univariate and bivariate statistics. A student who successfully completes this course will possess a reasonable
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Week 4-Part three of Course Project Robert Offner 1. Review of Diagnostic model The Diagnostic Model that I have chosen is the Burke-Litwin Model. It was hard to choose to be honest; it actually came down to the The Burke-Litwin Model and The Six-Box Organization Model. The reason I almost went that direction of the Six Box Organization Model was because of the way Weisbord referred to it. He compares it to a radar screen “Just as air controllers use radar to chart the course
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a) A company is interested in providing a new benefit to its employees to encourage them to utilize public transportation. To study the potential of providing this benefit‚ the company would like to do a survey of the workers at a company to gather information on why do or do not use public transportation for commuting to work. The company is about 25‚000 people in areas where public transportation is available. You also want to find out the reasons why their choice is what it is. In this case
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