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The physical plant at the main campus of a large state university recieves daily requests to replace florecent lightbulbs. The distribution of the number of

The physical plant at the main campus of a large state university recieves daily requests to replace florecent lightbulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 46 and a standard deviation of 10. Using the 68-95-99.7 rule, what is the approximate percentage of lightbulb replacement requests numbering between 46 and 66?

The number of potholes in any given 1-mile stretch of freeway pavement in Pennsylvania has a Normal distribution. This distribution has a mean of 62 and a standard deviation of 5. Using theEmpirical Rule, what is the approximate percentage of 1-mile long roadways with potholes numbering between 47 and 72?

The number of potholes in any given 1 mile stretch of freeway pavement in Pennsylvania has a bell-shaped distribution. This distribution has a mean of 51 and a standard deviation of 5. Using the empirical rule, what is the approximate percentage of 1-mile long roadways with potholes numbering between 41 and 56?

The physical plant at the main campus of a large state university recieves daily requests to replace fluorescent lightbulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 44 and a standard deviation of 10. Using the empirical rule (as presented in the book), what is the approximate percentage of lightbulb replacement requests numbering between 34 and 44?

The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 53 ounces and a standard deviation of 6 ounces.

Use the Standard Deviation Rule, also known as the Empirical Rule.

Suggestion: sketch the distribution in order to answer these questions.

a) 95% of the widget weights lie betweenand

b) What percentage of the widget weights lie between 35 and 65 ounces?%

c) What percentage of the widget weights lie below 59 ?

Engineers must consider the breadths of male heads when designing helmets. The company researchers have determined that the population of potential clientele have head breadths that are normally distributed with a mean of 6.1-in and a standard deviation of 1.1-in.

In what range would you expect to find the middle 68% of most head breadths?

Betweenand.

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