What is the income distribution of super shoppers? A supermarket super shopper is defined as a shopper for whom at least 70% of the items purchased were on sale or purchased with a coupon. In the following table, income units are in thousands of dollars, and each interval goes up to but does not include the given high value. The midpoints are given to the nearest thousand dollars.
Income range | 5-15 | 15-25 | 25-35 | 35-45 | 45-55 | 55 or more |
---|---|---|---|---|---|---|
Midpoint x | 10 | 20 | 30 | 40 | 50 | 60 |
Percent of super shoppers | 21% | 15% | 21% | 16% | 19% | 8% |
(c) Compute the expected income μ of a super shopper (in
thousands of dollars). (Enter a number. Round your answer to two
decimal places.)
μ = thousands of dollars
(d) Compute the standard deviation σ for the income of super
shoppers (in thousands of dollars). (Enter a number. Round your
answer to two decimal places.)
σ = thousands of dollars
Computational Table:
Xi | Percent of super shopper (Pi) | PiXi | Pi*Xi2 |
10 | 21% = 0.21 | 2.1 | 21 |
20 | 15% = 0.15 | 3 | 60 |
30 | 21% = 0.21 | 6.3 | 189 |
40 | 16% = 0.16 | 6.4 | 256 |
50 | 19% = 0.19 | 9.5 | 475 |
60 | 8% = 0.08 | 4.8 | 288 |
Total | 1 | 32.10 | 1289 |
Total Probability = 1, Therefore Valid probability.
C)
Find Expected Income ()
Thousand of dollars
d) Find Standard deviation:
Therefore,
V(X) = E(X2) - [E(x)]2
V(X) = 1289 - 32.12
V(X) = 258.59
Therefore,
Thousand of dollars
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