Consider a box model with one 1 and nine 0s.What is the standard deviation of the box?Group of answer choices0.20.10.30.5
Question
Consider a box model with one 1 and nine 0s.What is the standard deviation of the box?Group of answer choices0.20.10.30.5
Solution 1
To calculate the standard deviation of the box, we first need to calculate the mean and the variance.
Step 1: Calculate the mean (average) The mean is calculated by adding all the numbers in the box and dividing by the total number of numbers. In this case, we have one 1 and nine 0s, so the mean is (1+0+0+0+0+0+0+0+0+0+0) / 10 = 0.1
Step 2: Calculate the variance The variance is calculated by subtracting the mean from each number in the box, squaring the result, and then averaging these squares.
For the nine 0s, this is (0-0.1)^2 = 0.01. For the one 1, this is (1-0.1)^2 = 0.81.
The variance is then (90.01 + 10.81) / 10 = 0.09.
Step 3: Calculate the standard deviation The standard deviation is the square root of the variance. So, the standard deviation is sqrt(0.09) = 0.3.
So, the standard deviation of the box is 0.3.
Solution 2
To calculate the standard deviation of the box, we first need to calculate the mean and the variance.
Step 1: Calculate the mean (average) The mean is calculated by adding all the numbers in the box and dividing by the total number of numbers. In this case, we have one 1 and nine 0s, so the mean is (1+0+0+0+0+0+0+0+0+0+0)/10 = 0.1
Step 2: Calculate the variance The variance is calculated by subtracting the mean from each number in the box, squaring the result, and then averaging these squares.
For the nine 0s, this gives us (0-0.1)^2 = 0.01 each, and for the one 1, this gives us (1-0.1)^2 = 0.81.
So the variance is (9*0.01 + 0.81)/10 = 0.09 + 0.081 = 0.171
Step 3: Calculate the standard deviation The standard deviation is the square root of the variance. So, the standard deviation is sqrt(0.171) = 0.413 (rounded to three decimal places).
None of the provided answer choices (0.2, 0.1, 0.3, 0.5) match the calculated standard deviation of 0.413. There might be a mistake in the question or the provided answer choices.
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