The standard deviation of the number of defective candles in the group is <u>0.9277</u>.
When a random variable X follows a binomial distribution, with the sample size n, and the proportion of success is p, then the standard deviation is calculated as:
σ = √{np(1-p)}.
In the question, we are given that off the production line, there is a 2.2% chance that a candle is defective.
We are asked if the company selected 40 candles off the line, then what is the standard deviation of the number of defective candles in the group.
Assuming the occurrence of a defective bulb as success, we get the proportion of success, p = 2.2% or 0.022, and the sample size, n = 40.
Thus, we can calculate the standard deviation of the number of defective candles in the group as:
σ = √{np(1-p),
or, σ = √{40*0.022*(1 - 0.022)} = √0.86064 = 0.9277.
Thus, the standard deviation of the number of defective candles in the group is <u>0.9277</u>.
Learn more about the standard deviation of binomial distribution at
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