1. A department store manager has monitored the number of complaints received per week about poor service. The probabilities for numbers of complaints in a week, established by this review, are shown in the table.
Number of complaints | 0 | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|
Probability | 0.16 | 0.26 | 0.35 | 0.10 | 0.08 | 0.05 |
What is the standard deviation of complaints received per week?
Please round your answer to the nearest hundredth.
2. A department store manager has monitored the number of complaints received per week about poor service. The probabilities for numbers of complaints in a week, established by this review, are shown in the table.
Number of complaints | 0 | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|
Probability | 0.10 | 0.29 | 0.33 | 0.13 | 0.07 | 0.08 |
What is the mean of complaints received per week?
Please round your answer to the nearest hundredth.
Note that the correct answer will be evaluated based on the full-precision result you would obtain using Excel.
Solution :
(1)
X | P(X) | X.P(X) | X ² .P(X) |
0 | 0.16 | 0 | 0 |
1 | 0.26 | 0.26 | 0.26 |
2 | 0.35 | 0.7 | 1.4 |
3 | 0.10 | 0.3 | 0.9 |
4 | 0.08 | 0.32 | 1.28 |
5 | 0.05 | 0.25 | 1.25 |
Total | 1 | 1.83 | 5.09 |
Mean μ = Σ X.P(X) = 1.83
Standard deviation σ = √ ( Σ X ² .P(X) - μ ² )
= √ ( 5.09 - (1.83) ² )
= √ 1.7411
= 1.31950
= 1.32
standard deviation of complaints received per week = 1.32
(2)
E(X) = Σ X * P(X)
For discrete probability distribution,
= 0 * 0.10+ 1 * 0.29 + 2 * 0.33 + 3 * 0.13 + 4 * 0.07 + 5 * 0.08
= 2.02
The mean of the complaints received per week = 2.02
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