Quantitative Methods: Lab #1
Excel Graphs and Charts,
Descriptive Statistics
You will have two sections for this lab, they are separated below as
parts A and B.
This lab will allow you to practice
(and learn) some techniques in Excel that allow you to create some descriptive
statistics, both graphical and numerical.
To retrieve your
Data.
We will be using the data that
accompanies the “Pelican Stores”
Case Problem 1 on page 84 of the textbook. Follow the instructions in this lab,
but you should read the background of this case in the text.
1. Open an Excel file that you can
now save and begin working on.
2. Once you have opened the data,
type your name (and any other people in your group) in cell A1 of the first
sheet and the date in cell A2.
3. Save your Excel file as
"Lab1 Pelican, yourname". If you have more than one person in the group, save it as "Lab
1 Accident, allnames". Save early and
often!!!
I. Shopping patterns based on marital status
Creating a frequency
distribution.
(Similar steps are found at the end of Ch. 2 of your text and following their
examples will help.)
1. The first thing we’re
going to do is create a PivotTable. Drag and select all of the observations in
columns C through I.
2. Select the Insert
menu at the top of the page and then select PivotTable. Choose the option to
locate the PivotTable in a new worksheet. You should now have a new worksheet
open with a new window of options available to you, likely on the right side of
the sheet.
3. In the section
titled “Field List”, check the boxes for Marital Status and Method of Payment.
4. Left-click on the
Marital Status field and drag down to the smaller window titled “Column Labels”.
5. Left-click on the Method
of Payment field and drag down to the smaller window titled “Row Labels”.
6. Left-click on the
Marital Status field and drag down to the smaller window titled “∑ Values”.
You should now have a table in this worksheet that has the look of a frequency
distribution of the method of payment for both married and single customers. (worth
a maximum of 1 point)
Creating a column
chart.
1. From your
PivotTable, select Options under the PivotTable Tools menu at the top of the
worksheet. Select PivotChart and you get a window that pops up with many
different chart options. Select the first column chart and a nice chart should
be created, along with a small window called the PivotChart Filter Pane. Make
sure under the Legend Fields (Series) that both Married and Single are selected.
2. At the top of the
worksheet click on Move Chart and select New Sheet. The column chart should now
appear in its own chart sheet.
3. Select the Layout
menu at the top of the worksheet. Add an appropriate title for the chart and
one for the vertical axis.
4. Right click on a
column and select “Add Data Labels” for both groups of customers. (worth a
maximum of 2 points)
Now for a pie
chart.
1. Follow step 1 from
the previous section except now select a pie chart. In the legend fields, make
sure only the Married field is selected.
2. Same as previous
section.
3. Adjust the title of
the chart.
4. Same as previous
section, except when you see the data labels, right click on one of them and select
“Format Data Labels”. Under “Label Options”, choose the boxes that say “category
name” and “percentages” and “show leader lines”.
5. Repeat for the
single customers. (2 pie charts are worth a maximum of 4 points)
Analyzing two
variables.
1. You have been asked by the President to analyze the relationship between the recent unemployment rate (in July 2015) in a state and educational attainment (the percentage of residents in 2010 with a Bachelor’s degree or higher) in that state. You have data for all states and the District of Columbia. The data can be found stored in this file.
Save your file as
Lab 1 States, yourname.
3. Modify the chart title and axis labels to
describe your chart.
5. Right
click on any one of the dots in the scatter plot. Select “Add Trendline” and add a linear trend line. Close the window
and a trendline will appear. (scatter plot is worth 2 points)
Part B:
Descriptive Statistics
2. Once you have opened the data, type your name in cell A1 and the date in A2.
2. Select Data Analysis option. The lack of this option means a tool pack has not been loaded but it is fairly easy to load. Click on the Windows button in top left corner. At the bottom of the new menu, look for Excel options. Select this and then look for Add-Ins. Select this and then find Analysis ToolPak and select it and click OK. Contact me for help if you still have trouble. If you are working in a campus lab and this option is not available to you, you need to contact Academic Computing and they will install it. If you are working on a Mac and cannot find this option, you need to contact Academic Computing.
b. Make sure the option of Columns is selected.
c. Make sure the option of Labels in First Row is selected.
e. Click the box that says Summary Statistics.
f. Finally, click OK to perform the analysis.
Producing accurate descriptive statistics and Z-statistics is worth a maximum of 3 points.
Frequency
Distribution and Histogram for Quantitative
Data
a. Choose the Data Analysis option
c. Your input range is your data. Again check the box that says "Labels".
d. Your bin range is what you did in the I column, including the cell that says "Bin".
e. Select an appropriate output location. Check the box that says "Chart Output".
Finally, use your statistical output to write a brief report that addresses the following: