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Mathematics 15 Online
OpenStudy (anonymous):

Satistics: Suppose the hourly dollar amount of food sold by a Burger King franchise follows an approximately mound shaped distribution with a mean sales level of $400/hour and a standard deviation of $60/hour. What percentage of the working hours does the Burger King franchise sell between $340 and $460 worth of food/hour. Note: Use the empirical rule.

OpenStudy (kirbykirby):

\[ P(340<X<460)=P\left( \frac{340-400}{60}<\frac{X-400}{60}<\frac{460-400}{60}\right)\\ =P(-1<Z<1)\] Thus, you have values between -1 and 1 of a standard normal distribution. Do you recall what percentage of data values fall within 1 standard deviation of the mean?

OpenStudy (kirbykirby):

If you don't remember, you could always look at a normal distribution table and see what is the cumulative probability at Z=1, and then establish using symmetry arguments, what is the cumulative probability at Z=-1, and then subtract both of these probabilities.

OpenStudy (anonymous):

\[(\mu \pm \sigma)\] 68%

OpenStudy (anonymous):

\[(\mu \pm 2\sigma)\] = 95%

OpenStudy (anonymous):

\[(\mu \pm 3\sigma) =99.7 %\]

OpenStudy (anonymous):

I have the use one of the three, just not sure how

OpenStudy (kirbykirby):

The mean of the standard normal distribution is 0 (\(\mu=0\)), and the st. deviation is 1 (\(\sigma=1\)). So, you have \((0 \pm 1)=(-1,1)\)

OpenStudy (kirbykirby):

Without standardizing, you can see that the mean is \(\mu=400\), and the standard deviation is \(\sigma=60\), so if you calculate \((400 \pm 1\cdot60) = (340, 460)\), so you are again just 1 standard deviation from the mean.

OpenStudy (anonymous):

Ohhh okay that makes sense, so it would jusst be 68%, right?

OpenStudy (kirbykirby):

Yep :)

OpenStudy (anonymous):

Thank you: )

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