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 49 and a standard deviation of 3. Using the empirical rule, what is the approximate percentage of 1-mile long roadways with potholes numbering between 40 and-55? Do not enter the percent symbol. ans = %

Jse the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 64 miles per hour, with a standard deviation of 4 miles per hour. Estimate the percent of vehicles whose speeds are between miles per hour and 72 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately % of vehicles travel between 56 miles per hour and 72 miles per hour.

Draw by hand or in Excel fully labelled curves on a common scale to represent two sets of scores where: b. Mean = 50, Standard Deviation = 2, Mean = 50, Standard Deviation = 5. CUA

Find the proportion of Normally distributed observations with a z-score above -1.93. Give your answer to four decimal places.

The highway mileage (mpg) for a sample of 8 different models of a car company can be found below. Find the mean, median, mode, and standard deviation. Round to one decimal place as needed. 20, 23, 25, 28, 30, 32, 33, 33 Mean = Median = Mode = Standard Deviation =

Suppose that the weight of male babies less than 2 months old is normally distributed with mean 11.5 pounds and standard deviation 2.7 pounds. What proportion of babies weigh less than 9.20 pounds?Write only a number as your answer. Round to 4 decimal places (for example 0.0048). Do not write as a percentage.

The mean value in a dataset is 100, and the value of one standard deviation is 20. What is the value c a piece of data is 2.5 SDs above the mean? Type your answer...

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The highway mileage (mpg) for a sample of 8 different models of a car company can be found below. Find the mean, median, mode, and standard deviation. Round to one decimal place as needed. 20, 23, 26, 28, 29, 31, 35, 35 Mean = Median Mode = Standard Deviation =