In: Statistics and Probability
A civil engineer aims to estimate the total number of potholes in a city so that a re-development budget can be drawn up. It is not possible to survey the whole city for practical reasons. Therefore, the city is split into a grid of 500 areas of size 1km2. The engineer randomly selects 50 of these areas and counts the number of potholes; a total 238 potholes are counted. Assuming that the potholes are geographically distributed according to a Poisson distribution, construct a 95% confidence interval for the total number of potholes in the whole city.
Mean/Expected number of events of interest: λ = (238/50)*500
= 2380
std dev = √λ = 48.78524367
Level of Significance , α =
0.05
degree of freedom= DF=n-1= 499
't value=' tα/2= 1.9647 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 48.7852 /
√ 500 = 2.181742
margin of error , E=t*SE = 1.9647
* 2.18174 = 4.286533
confidence interval is
Interval Lower Limit = x̅ - E = 2380.00
- 4.286533 = 2375.713467
Interval Upper Limit = x̅ + E = 2380.00
- 4.286533 = 2384.286533
95% confidence interval is (
2375.71 < µ < 2384.29
)
Thanks in advance!
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