# Data file that includes data on five variables:

SALES represents the number sales made this week. CALLS represents the number of sales calls made this week. TIME represents the average time per call this week. YEARS represents years of experience in the call center. TYPE represents the type of training the employee received.

Exploratory Data Analysis

Preparation

· Open the files for the Course Project and the data set.

· 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 Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, and 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, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.

· Analyze the connections or relationships between the variables. There are 10 possible pairings of two variables. Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, whereas others do not.

Report Requirements

· From the variable analysis above, provide the analysis and interpretation for three individual variables. This would include no more than one graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, 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. Please note that at least one pairing must include a qualitative variable, and at least one pairing must not include a qualitative variable.

· Prepare the report in Microsoft Word, integrating graphs and tables with text explanations and interpretations. Be sure to include graphical and numerical back up for the explanations and interpretations. Be selective in what is included in the report to meet the requirements of the report without extraneous information.

· Project Part A is worth 100 total points. See the grading rubric below.

Submission: The report, including all relevant graphs and numerical analysis along with interpretations

Format for report:

A. Brief Introduction

B. Discuss the first individual variable, using graphical, numerical summary and interpretation.

C. Discuss the second individual variable, using graphical, numerical summary and interpretation.

D. Discuss the third individual variable, using graphical, numerical summary and interpretation.

E. Discuss the first pairing of variables, using graphical, numerical summary and interpretation.

F. Discuss the second pairing of variables, using graphical, numerical summary and interpretation.

G. Discuss the third pairing of variables, using graphical, numerical summary and interpretation.

H. Conclusion

Part A: Grading Rubric

 Category Points % Description Three individual variables—12 points each 36 36 Graphical analysis, numerical analysis (when appropriate), and interpretation Three relationships—15 points each 45 45 Graphical analysis, numerical analysis (when appropriate), and interpretation Communication skills 19 19 Writing, grammar, clarity, logic, cohesiveness, adherence to the above format Total 100 100 A quality paper will meet or exceed all of the above requirements.

D

ata file that includes data on five variables:

SALES

represents the number sales made this week.

CALLS

represents the number of sales calls made this week.

TIME

represents the average time per call

this week.

YEARS

represents years of experience in the call center.

TYPE

represents the type of training the employee received.

Exploratory Data Analysis

Preparation

·

Open the files for the Course Project and the data set.

·

For each of the five varia

bles, process, organize, present, and summarize the data.

Analyze each variable by itself using graphical and numerical techniques of

summarization. Use Excel as much as possible, explaining what the results reveal.

Some of the following graphs may be help

ful: stem

leaf diagram, frequency/relative

frequency table, histogram, boxplot, dotplot, pie chart, and 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 additio

n, be sure to find the appropriate measures of central

tendency, the measures of dispersion, and the shapes of the distributions (for the

quantitative variables) for the above data. Where appropriate, use the five number

summary (the Min, Q1, Median, Q3, M

ax). Once again, use Excel as appropriate, and

explain what the results mean.

·

Analyze the connections or relationships between the variables. There are 10 possible

pairings of two variables. Use graphical as well as numerical summary measures.

Explain the

results of the analysis. Be sure to consider all 10 pairings. Some variables

show clear relationships, whereas others do not.

Report Requirements

·

From the variable analysis above, provide the analysis and interpretation for

three

individual variables.

This

would include no more than one graph for each, one or two

measures of central tendency and variability (as appropriate), the shapes of the

distributions for quantitative variables, and two or three sentences of interpretation.

·

For the 10 pairings, identif

y and report only on

three of the pairings

, again using

graphical and numerical summary (as appropriate), with interpretations.

that at least one pairing must include a qualitative variable, and at least one

pairing must not include a qualitati

ve variable

.

·

Prepare the report in Microsoft Word,

integrating graphs and tables with text

explanations and interpretations.

Be sure to include graphical and numerical back

up for the explanations and interpretations. Be selective in what is included in

the

report to meet the requirements of the report without extraneous information.

·

Project Part A is worth 100 total points. See the grading rubric below.

Data file that includes data on five variables:

SALES represents the number sales made this week.

CALLS represents the number of sales calls made this week.

TIME represents the average time per call this week.

YEARS represents years of experience in the call center.

TYPE represents the type of training the employee received.

Exploratory Data Analysis

Preparation

 Open the files for the Course Project and the data set.

 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 Excel as much as possible, explaining what the results reveal.

Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative

frequency table, histogram, boxplot, dotplot, pie chart, and 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, the measures of dispersion, and the shapes of the distributions (for the

quantitative variables) for the above data. Where appropriate, use the five number

summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and

explain what the results mean.

 Analyze the connections or relationships between the variables. There are 10 possible

pairings of two variables. Use graphical as well as numerical summary measures.

Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables

show clear relationships, whereas others do not.

Report Requirements

 From the variable analysis above, provide the analysis and interpretation for three

individual variables. This would include no more than one graph for each, one or two

measures of central tendency and variability (as appropriate), the shapes of the

distributions for quantitative variables, 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. Please note

that at least one pairing must include a qualitative variable, and at least one

pairing must not include a qualitative variable.

 Prepare the report in Microsoft Word, integrating graphs and tables with text

explanations and interpretations. Be sure to include graphical and numerical back

up for the explanations and interpretations. Be selective in what is included in the

report to meet the requirements of the report without extraneous information.

 Project Part A is worth 100 total points. See the grading rubric below.