3-4 constructing a probability mass function with excel
TRANSCRIPT
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7/30/2019 3-4 Constructing a Probability Mass Function With EXCEL
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Chapters 3-4 Constructing a Probability Mass
Function with EXCEL
From William E. Becker, Statistics for Business and Economics Using Microsoft Excel 97, S.R.B. Publishing,
1997, p. 142-143. Reproduced with permission of S.R.B. Publishing.
QUERY 4.1: (p. 142-143) In the early 1990s,Newsweekreported that "average take" for bank robberies was $3,244
but 85 percent of the robbers were caught. Assuming 60 percent of those caught lose their entire take and 40 percent
lose half, graph the probability mass function using EXCEL. Calculate the expected take from a bank robbery. Does it
pay to be a bank robber?
ANSWER: Construction of the probability mass function for bank robberies first requires the defining of the random
variablex, bank robbery take. If the robber is not caughtx = 3,244. If the robber is caught and manages to keep half
x = 1,622. If the robber is caught and loses it all, thenx = 0. The associated probabilities for thesex values are 0.15
= 1- 0.85), 0.34 ( = 0.850.4), and 0.51 ( = 0.850.6) After entering thex values in cells A1, A2 and A3 and the
associated probabilities in B1, B2, and B3, the following steps lead to the probability mass function:
1) Click on the ChartWizard. The "ChartWizard Step 1 of 4" screen will appear.
2) Highlight "Column" at "ChartWizard Step 1 of 4" and push "Next."
3) At "ChartWizard Step 2 of 4 Chart Source Data," enter "=B1:B3" for "Data range," and push
"column" button for "Series in." A graph will appear. Click on "series" toward the top of the screen to ge
a new page.
4) At the bottom of the "Series" page is a rectangle for "Category (x) axis labels:" Click on this rectangle
and then highlight A1:A3.
5) At "Step 3 of 4" move on by clicking on "Next," and at "Step 4 of 4" click on "Finish." Your screen should now
look like that in Chart 4.1.
CHART 4.1 Probability Mass Function for Bank Robberies Within the EXCEL SpreadSheet
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The expected value of a robbery is $1,038.08.
E(x) =xP(x) = (0)(0.51) + (1622)(0.34) + (3244)(0.15)
= 0 + 551.48 + 486.60 = 1038.08
The expected return to bank robbery is positive - on average, bank robbers get $1,038.08 per heist. If criminals
make their decisions strictly on this expected value, then it pays to rob banks. A decision rule based only on an
expected value, however, ignores the risks or variability in the returns. In addition, our expected value calculations do
not include the cost of jail time, which could be viewed by criminals as substantial.
Go to:
Examples of EXCEL Use
Statistics for Business and Economics WWW Page
http://www.indiana.edu/~iustats/stats.htmhttp://www.indiana.edu/~iustats/excel.htm