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MATH 533 WEEK 2 COURSE PROJECT PART A, EXPLORATORY DATA ANALYSIS

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MATH 533 Week 2 Course Project Part A: Exploratory Data Analysis SALESCALL Inc. has thousands of salespeople throughout the country. A sample of 100 salespeople is selected, and data is collected on the following variables. SALES (the number of sales made this week) CALLS (the number of sales calls made this week) TIME (the average time per call this week) YEARS (years of experience in the call center) TYPE (the type of training, either group training, online training of no training) MATH 533 WEEK 2 COURSE PROJECT PART A: EXPLORATORY DATA ANALYSIS Open the file Course Project D from the Course Project Data Set folder in Doc Sharing. For each of the five variables, process, organize, present, and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use Minitab as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency or relative frequency table, histogram, boxplot, dotplot, pie chart, or bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition, be sure to find the appropriate measures of central tendency and measures of dispersion for the above data. Where appropriate, use the five number summary (the min, Q1, median, Q3, max). Once again, use Minitab as appropriate, and explain what the results mean. Analyze the connections or relationships between the variables. There are 10 pairings here (SALES and CALLS, SALES and TIME, SALES and YEARS, SALES and TYPE, CALLS and TIME, CALLS and YEARS, CALLS and TYPE, TIME and YEARS, TIME and TYPE, YEARS and TYPE). Use graphical and numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not. math 533 week 2 course project Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20-page report on every variable and every possible relationship (that’s 15 things to do). Rather, what I want you do is to highlight what you see for three individual variables (no more than one graph for each, one or two measures of central tendency and variability, and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. math 533 week 2 course project

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MATH533 ICOURSE IPROJECT IPART IA 1




MATH533 ICourse IProject IPart IA

Ima IGoode IStudentOlivia IPope
I




Applied IManagerial IStatistics I– IMATH533

Professor IRobert ISmith
I




Keller IGraduate ISchool Iof IManagement

DATE
I

, MATH533 ICOURSE IPROJECT IPART IA 2



Table Iof IContents

Introduction ......................................................................................................................................... 2
Analysis Iof ISingle IVariables ................................................................................................................ 2
Variable I#1 I(Type Iof ITraining) ........................................................................................................ 2
Variable I#2 I(Years) ......................................................................................................................... 3
Variable I#3 I(Calls) .......................................................................................................................... 4
Analysis Iof ICorrelations ...................................................................................................................... 5
Correlation IBetween ISales Iand ITime ............................................................................................... 5
Correlation IBetween ISales Iand ICalls ............................................................................................... 5
Correlation IBetween ISales Iand IYears............................................................................................... 6
Conclusion .......................................................................................................................................... 7
References ........................................................................................................................................... 8

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