The 68-95-99.7 rule says that we can estimate the percent of a normal distribution that is within 1 standard deviation (1σ) from the mean as 68%, the percent within 2σ as 95%, and within 3σ from the mean as 99.7%. This rule will be useless except for numbers that are 0, 1, 2 or 3σ away from the mean. 36 is 0 away from the mean, and 12 is 24 away from the mean. How many σ is 24, when σ is 8? That's right, 3σ. So now we know we're using the part of the rule with 3σ. That part of the rule says if you go up and down from the mean by 3σ each, then you'll enclose 99.7% of the distribution. But we're only going down, not up, so we only get half of that. Half of 99.7% is ... 49.85%
Hayley T.
asked 03/24/20See question below:
The maintenance department at the main campus of a large state university receives daily requests to replace fluorecent lightbulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 36 and a standard deviation of 8. Using the 68-95-99.7 rule, what is the approximate percentage of lightbulb replacement requests numbering between 12 and 36?
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