Kyle’s Shoe Stores Inc. is considering opening an additional
suburban outlet. An aftertax expected cash flow of $100 per week is
anticipated from two stores that are being evaluated. Both stores
have positive net present values.
Site A | Site B | ||||||||||||||
Probability | Cash Flows | Probability | Cash Flows | ||||||||||||
0.2 | 50 | 0.1 | 20 | ||||||||||||
0.4 | 100 | 0.2 | 50 | ||||||||||||
0.2 | 110 | 0.4 | 100 | ||||||||||||
0.1 | 150 | 0.2 | 150 | ||||||||||||
0.1 | 180 | ||||||||||||||
a. Compute the coefficient of variation for each
site. (Do not round intermediate calculations. Round your
answers to 3 decimal places.)
The coefficient of variation for site A is calculated in the below table :
Probability (P) | Cash flow (CF) | CF * P | CF-Expected CF | CF-Expected CF)^2 | P * (CF-Expected CF)^2 |
0.2 | 50 | 10 | -37 | 1369 | 273.8 |
0.4 | 100 | 40 | 13 | 169 | 67.6 |
0.2 | 110 | 22 | 23 | 529 | 105.8 |
0.1 | 150 | 15 | 63 | 3969 | 396.9 |
Expected CF = | 87 | Variance= | 844.1 | ||
Std Dev = | 29.05339911 | ||||
CV= | 0.334 |
Variance = 844.1
Std dev = sqrt (844.1) = 29.0534
Coefficient of Variation = std dev / Expected CF = 0.334
The coefficient of variation for site B is calculated in the below table :
Probability (P) | Cash flow (CF) | CF * P | CF-Expected CF | CF-Expected CF)^2 | P * (CF-Expected CF)^2 |
0.1 | 20 | 2 | -80 | 6400 | 640 |
0.2 | 50 | 10 | -50 | 2500 | 500 |
0.4 | 100 | 40 | 0 | 0 | 0 |
0.2 | 150 | 30 | 50 | 2500 | 500 |
0.1 | 180 | 18 | 80 | 6400 | 640 |
Expected CF = | 100 | Variance= | 2280 | ||
Std Dev = | 47.74934555 | ||||
CV= | 0.477 |
Variance = 2280
Std dev = sqrt (2280) = 47.7493
Coefficient of Variation = std dev / Expected CF = 0.477
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