The number of potholes in any given 10 mile stretch of freeway pavement is normally distributed. This distribution has a mean of 16 potholes and a standard deviation of 6 potholes. Use the Empirical Rule and a sketch of the normal distribution in order to answer these questions. a) 99.7% of the number of potholes in any given 10 mile stretch of freeway pavement lie between and b) What percentage of the number of potholes in any given 10 mile stretch of freeway pavement lie between 4 and 34 ounces? % c) What percentage of the number of potholes in any given 10 mile stretch of freeway pavement lie below 22? %

MATLAB: An Introduction with Applications
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The number of potholes in any given 10 mile stretch of freeway pavement is normally distributed. This
distribution has a mean of 16 potholes and a standard deviation of 6 potholes.
Use the Empirical Rule and a sketch of the normal distribution in order to answer these questions.
a) 99.7% of the number of potholes in any given 10 mile stretch of freeway pavement lie between
and
b) What percentage of the number of potholes in any given 10 mile stretch of freeway pavement lie
between 4 and 34 ounces?
%
c) What percentage of the number of potholes in any given 10 mile stretch of freeway pavement lie below
22 ?
%
Transcribed Image Text:The number of potholes in any given 10 mile stretch of freeway pavement is normally distributed. This distribution has a mean of 16 potholes and a standard deviation of 6 potholes. Use the Empirical Rule and a sketch of the normal distribution in order to answer these questions. a) 99.7% of the number of potholes in any given 10 mile stretch of freeway pavement lie between and b) What percentage of the number of potholes in any given 10 mile stretch of freeway pavement lie between 4 and 34 ounces? % c) What percentage of the number of potholes in any given 10 mile stretch of freeway pavement lie below 22 ? %
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given datanormal distribution μ=16σ=6emperical rule:according to emperical rule 68%, 95% and 99.7% data fall within range of one, two and three standard deviation of the mean 

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