Doing Statistics for Business Data, Inference, and Decision Making Marilyn K' Pelosi Theresa M' Sand - PowerPoint PPT Presentation

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Doing Statistics for Business Data, Inference, and Decision Making Marilyn K' Pelosi Theresa M' Sand

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Title: Doing Statistics for Business Data, Inference, and Decision Making Marilyn K' Pelosi Theresa M' Sand


1
Doing Statistics for Business Data, Inference,
and Decision MakingMarilyn K. PelosiTheresa M.
Sandifer
Chapter 5 Analyzing Bivariate Data

2
Doing Statistics for Business
  • Chapter 5 Objectives
  • Bivariate Qualitative Data
  • Contingency Tables
  • Clustered Stacked Bar Charts
  • Identifying Quantitative Relationships
    Scatter Plots
  • The Least-squares Line

3
Doing Statistics for Business
  • A Contingency Table is a table whose
  • rows represent the possible values of
  • one variable and whose columns
  • represent the possible values for a
  • second variable. The entries in the table
  • are the number of times that each pair
  • of values occurs.

4
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Contingency Table
  • A company that manufactures cardboard boxes is
    trying to
  • understand some of their quality problems. They
    have analyzed some
  • data and determined that their major defects are
    Printing, Color and
  • Skewness (how square the box is). Further
    attempts to pinpoint the
  • problems have resulted in many opinions and
    finger pointing about
  • responsibility. They decide to collect some
    additional data on defect
  • type and the shift during which production
    occurred.

5
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Contingency Table (cont)
  • The data (sorted by defect type) are as follows

6
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Contingency Table (cont)
  • Create a relative frequency contingency table for
    the data.
  • What percentage of the defects were color?
  • Does there appear to be any credence tot he claim
    that the majority of the
  • defects occur on the third shift?

7
Doing Statistics for Business
Figure 5.1 Two bar charts representing
a contingency table
8
Doing Statistics for Business
  • In a Clustered Bar Chart, the bars for
  • one variable are grouped according to
  • the values of the other qualitative
  • variables.

9
Doing Statistics for Business
Figure 5.2 Example of a Clustered Bar Chart
10
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Clustered Bar Chart
  • The management of the company that manufactures
    cardboard boxes
  • decide to have a meeting with the crews about the
    quality problems. The
  • managers decide that a graphical display of the
    data is the best way to
  • convey the information they have obtained and
    that they want to display
  • the crew data for each of the quality defects.

11
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Clustered Bar Chart (cont)
  • Create a clustered bar chart that display the
    percent defects for each shift
  • using the quality problems as the categories for
    the x axis.

12
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Clustered Bar Chart (cont)
  • Which shift contributes the largest percentage of
    color defects? The least
  • percentage?
  • What do you notice about the skewness defects?

13
Doing Statistics for Business
  • In a Stacked Bar Chart the data for the
  • selected variable are represented as a
  • percentage of the total for each category
  • of the second variable. Each value of
  • the selected variable is represented in a
  • different way and the bars are stacked
  • to total 100.

14
Doing Statistics for Business
Figure 5.3 Stacked Bar Chart
15
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Stacked Bar Chart
  • The company that manufactures cardboard boxes
    decides to create
  • a graphical display of the data to show to the
    employees. What the
  • company wants to do is to display type of defect
    as a percentage of
  • total defects for each shift. It is hoped that
    these data will help each shift
  • concentrate on its own priorities. The
    contingency table for the defect is
  • shown on the following slide.

16
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Stacked Bar Chart (cont)
  • Modify the contingency table to display defect
    types as a percentage of
  • total defects for each shift.

17
Doing Statistics for Business
  • TRY IT NOW!
  • Quality Problems
  • Creating a Stacked Bar Chart (cont)
  • Create a stacked bar chart for the data.
  • Which defect type should each crew concentrate
    on? Why?

18
Doing Statistics for Business
  • In a Scatter Plot an axis is used to
  • represent each of the variables and the
  • data are plotted as points on the graph.
  • Typically, the independent variable is
  • plotted on the x axis and the dependent
  • variable is plotted on the y axis.

19
Doing Statistics for Business
Figure 5.4 Scatter Plot
20
Doing Statistics for Business
  • TRY IT NOW!
  • Airline Fares
  • Creating a Scatter Plot
  • A travel agency was interested in knowing how
    airline fares were
  • related to the length of the flight in miles.
    The agency hypothesized
  • that the longer the flight, the more the
    airfare. The following data were
  • collected

21
Doing Statistics for Business
  • TRY IT NOW!
  • Airline Fares
  • Creating a Scatter Plot (cont)
  • Which variable is the dependent variable and
    which is the independent
  • variable?
  • Make a scatter plot of the data.
  • From your plot, do you think that the travel
    agencys hypothesis was
  • correct? Why or why not?

22
Doing Statistics for Business
Figure 5.6 Scatter Plot Indicating no
Relationship Between Two Variables
23
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries Math Courses
  • Finding the Least-Squares Line
  • The Career Planning office of a large university
    is interested in knowing
  • whether there is a relationship between the
    starting salary of graduates
  • and the number of mathematics courses the
    graduates had taken as
  • students. The Career Planning office goes
    through the records for the
  • last year and finds the following data.

24
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries Math Courses
  • Finding the Least-Squares Line (cont)
  • Which variable is the independent variable? The
    dependent variable?

25
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries Math Courses
  • Finding the Least-Squares Line (cont)
  • Use a grid to create a scatter plot of the data.
  • Do you think that there is a linear relationship
    between the number of
  • math courses taken and the starting salary? If
    so, describe the
  • relationship.

26
Doing Statistics for Business
  • Discovery Exercise 5.1
  • Discovering Relationships
  • 1. The data below represent data taken on the
    number
  • of weeks that a student was enrolled in a speed
    reading program
  • and the speed gain in words per minute that the
    student has experienced

27
Doing Statistics for Business
  • Discovery Exercise 5.1
  • Discovering Relationships (cont)
  • 2. Plot the data on graph paper. Be sure to
    label your axes
  • and to construct the graph so that it uses most
    of the paper.
  • 3. Draw a straight line through the points that
    you think best represent the
  • relationship between x and y. What criteria did
    you use for drawing the
  • line you selected?

28
Doing Statistics for Business
  • The Least Squares technique finds the
  • equation of the line that minimizes the
  • sum of the squared errors between the
  • actual data points and the line.

29
Doing Statistics for Business
Figure 5.7 Deviations Between the Data
Points and the Line
30
Doing Statistics for Business
  • The distance between the predicted value
  • of Y, called the deviation or error. The
  • deviation, e, is equal to - y.

31
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries and Math Courses
  • Finding the Least-Squares Line
  • The Career Planning office at the university
    wants to use
  • least squares to find the equation that relates
    the number of math
  • courses taken and starting salary. The data are
  • Number of math courses Starting Salary ()
  • 1 26,284
  • 1 25,470
  • 2 26,777
  • 3 27,269
  • 4 28,553
  • 6 30,054

32
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries and Math Courses
  • Finding the Least-Squares Line (cont)
  • (a) Find the equation for the least-squares line
    for the data.
  • (b) Explain what the least-squares line tells the
    Career Planning Office about math courses and
    starting salary.

33
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries and Math Courses
  • Finding the Least-Squares Line
  • Once the least-squares equation is obtained the
    Career Planning
  • Office wants to see whether the equation does a
    good job of predicting
  • starting salary for a given number of math
    courses.
  • Plot the data and the least-squares line on the
    same graph.

34
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries and Math Courses
  • Finding the Least-Squares Line
  • Use the equation you just found to predict the
    starting salary
  • of a person who takes 2 mathematics courses. Do
    the same thing
  • for the starting salary of a person who takes 5
    mathematics courses.
  • Do you think the predictions from the
    least-squares line are useful? Why
  • or why not?
  • Is what you just did interpolation or
    extrapolation?

35
Doing Statistics for Business
  • TRY IT NOW!
  • Starting Salaries and Math Courses
  • Finding the Least-Squares Line (cont)
  • Now use the equation of the least-squares line to
    predict the
  • starting salary of a person who takes no math
    courses. Do the
  • same thing for a person who takes 10 math
    courses.
  • Do you think these predictions are valid? Why or
    why not?

36
Doing Statistics for Business
  • Creating Contingency Tables in Excel
  • 1. From the Data menu, select PivotTable and
    Pivot Chart Report .
  • 2. Since you have already highlighted the range
    that contains your data, you can just proceed by
    clicking Nextgt.
  • 3. Indicate where you want the Pivot table to
    appear and click the button labeled Layout.

37
Doing Statistics for Business
  • Creating Contingency Tables in Excel
  • 4. Drag the field box for Rank to the area
    marked Row and the field box for School to the
    area marked Column. Now drag the field box for
    either Rank or School into the area marked Data.
  • 5. Click on Next and tell Excel where you want
  • the table to appear either in the current
    worksheet
  • or in a new worksheet.
  • 6. Finally, click on Finish.

38
Doing Statistics for Business
  • Figure 5.10 Contingency Table of Rank and School

39
Doing Statistics for Business
  • The basics of creating a chart in Excel,
  • using the Chart Wizard.
  • 1. Highlight the data (Frequency table) that you
    want to graph.
  • 2. Invoke the Chart Wizard by clicking on the
    icon on the toolbar.
  • 3. Follow the directions and hints from the Chart
    Wizard.
  • 4. Edit the graph to include any other features
    or changes you want.

40
Doing Statistics for Business
  • Creating Clustered Bar Charts in in Excel
  • 1. Highlight just a portion of the pivot table by
    copying it to another location in the worksheet
    using the Paste Special command. To do this click
    on the lower right hand corner of the table and
    highlight it. Select Copy from the Edit menu.
    Then, click on the location for the copy and
    select Paste Special. In the Paste section,
    click on the radio button for Values and in the
    Operation section, select None. Click OK.

41
Doing Statistics for Business
  • Creating Clustered Bar Charts in in Excel
  • (cont)
  • 2. Highlight the copy of the table, being careful
    not to highlight the Grand Total row or column.
    Then start the Chart Wizard and select Column as
    the type of chart and clustered chart as the
    sub-type.
  • 3. Click Next twice to get to the Options step
    add titles and make any desired formatting
    changes.
  • 4. Click Next to indicate where you want the
    chart to be located and then click Finish.

42
Doing Statistics for Business
  • Figure 5.14 Clustered Bar Chart

43
Doing Statistics for Business
  • Creating Stacked Bar Charts in in Excel
  • 1. Highlight the rows of the pivot table, being
    careful not to include the Grand Total row and
    column and start the Chart Wizard.
  • 2. Select Column as the chart type and 100
    Stacked Column as the sub-type.
  • 3. Click Next twice to get to the Options step
    put in titles and any other formatting changes
    that you want.
  • 4. Click Next, enter the location for the chart,
    and click Finish to display the chart.

44
Doing Statistics for Business
  • Figure 5.17 Stacked Bar Chart

45
Doing Statistics for Business
  • Analyzing Quantitative Bivariate Data
  • in Excel
  • 1. Highlight the range of the data and start the
    Chart Wizard. Select XY (Scatter) as the chart
    type and Scatter no lines) for the subtype.
  • 2. Select Nextgt twice to get to the Chart Options
    dialog box put in titles and any other
    formatting changes that you want.
  • 3. Select Nextgt to tell Excel where to locate the
    chart and click Finish to display the chart.

46
Doing Statistics for Business
  • Figure 5.20 Finished Scatter Plot

47
Doing Statistics for Business
  • Adding the Least-Squares Line to Your
  • Scatter Plot
  • 1. Click on any one of the points in the scatter
    plot to highlight them all.
  • 2. From the Chart menu, select Add Trendline. The
    Add Trendline dialog box will open.
  • 3. In the Trend/Regression section, highlight
    Linear.
  • 4. Click on the Options tab and click the box
    labeled Display equation on chart.
  • 5. Click OK.

48
Doing Statistics for Business
  • Figure 5.24 Scatter Plot with Least-Squares
    Line

49
Doing Statistics for Business
  • Chapter 5 Summary
  • In this chapter you have learned
  • Some methods for looking at how two variables are
    related.
  • There are graphical methods, such as stacked bar
    charts, clustered bar charts, and scatter plots.
  • There are quantitative methods, such as
    least-squares analysis.
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