A police department reports that the probabilities that 0, 1, 2, and 3 burglaries will be reported in a given day are 0.46, 0.41, 0.09, and 0.04, respectively. Find the standard deviation for the probability distribution. Round answer to the nearest hundredth. 1.06 0.79 0.63 1.04
This problem involves binomial probability. Having forgotten the formula for the standard dev of such a distribution, I googled "standard deviation binomial distribution" and was presented with the following (among other hits): http://www.statisticslectures.com/topics/meanstandarddeviationbinomial/ Please see what you can do with this information. Still have questions? Please ask.
This is just a discrete probability distribution, but not binomial, since we don't have a value of p = probability of success or any other information like number of trials. Instead, you would use the general formula for expected value for the average, E(X) = Sum (X*P(X)) and the standard deviation is Standard Deviation for a Discrete Random Variable σ=√(∑[(xi−μ)^2pi). Use the expected value E(X) = ∑X*P(X) as the mean. For this data, E(X) = 0.71 To get the standard deviation: Take each value of x (0, 1, 2, and 3) and subtract 0.71 from each. Square each of those numbers, and multiply by the probability. ((0-0.71)^2)(0.46) + ((1-0.71)^2)(0.41) + ((2-0.71)^2)(0.09) + ((3-0.71)^2)(0.04) = 0.6259 Then take the square root: sqrt(0.6259) = 0.79 Here is a link to the formula for E(X) and Std Dev(X), scroll down to the 2nd yellow box. https://onlinecourses.science.psu.edu/stat200/node/36
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