Exam 3: Describing Data Using Numerical Measures

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It is possible for a set of data to have multiple modes as well as multiple medians,but there can be only one mean.

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Based on the empirical rule we can expect about 95 percent of the values in bell-shaped distribution to be within one standard deviation of the mean.

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The following data reflect the number of customers who test drove new cars each day for a sample of 20 days at the Redfield Ford Dealership. The following data reflect the number of customers who test drove new cars each day for a sample of 20 days at the Redfield Ford Dealership.   Given these data,what is the interquartile range? Given these data,what is the interquartile range?

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A distribution is said to be symmetric when the sample mean and the population mean are equal.

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The Good-Guys Car Dealership has tracked the number of used cars sold at its downtown dealership.Consider the following data as representing the population of cars sold in each of the 8 weeks that the dealership has been open. The Good-Guys Car Dealership has tracked the number of used cars sold at its downtown dealership.Consider the following data as representing the population of cars sold in each of the 8 weeks that the dealership has been open.   The population variance is approximately 9.43. The population variance is approximately 9.43.

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The owner of a local gasoline station has kept track of the number of gallons of regular unleaded sold at his station every day since he purchased the station.This morning,he computed the mean number of gallons.This value would be considered a statistic.

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Consider a situation involving two populations where population 1 is known to have a higher coefficient of variation than population 2.In this situation,we know that population 1 has a higher standard deviation than population 2.

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Incomes in a particular market area are known to be right-skewed with a mean equal to $33,100.In a report issued recently,a manager stated that at least 89 percent of all incomes are in the range of $26,700 to $39,500,and this was based on Tchebysheff's theorem.Given these facts,what is the standard deviation for the incomes in this market area?

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The distribution of actual weight of potato chips in a 16 ounce sack is thought to be bell-shaped with a mean equal to 16 ounces and a standard deviation equal to 0.45 ounces.Based on this,between what two limits could we expect 95 percent of all sacks to weigh?

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Populations with larger means will also have larger standard deviations since the data will be more spread out for populations with larger means.

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