Exam 3: Descriptive Statistics: Numerical Measures

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In 2012, the average donation to the Community Kitchen was $900 with a standard deviation of $180. In 2013, the average donation was $1,600 with a standard deviation of $240. In which year do the donations show a more dispersed distribution?

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The coefficient of variation in 2012 was 20% (more dispersed). The coefficient of variation in 2013 was 15%.

The measure of dispersion which is not measured in the same units as the original data is the

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D

Which of the following symbols represents the mean of the population?

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C

The coefficient of correlation

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The geometric mean of 2, 4, 8 is

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The most frequently occurring value of a data set is called the

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In the last month, Nancy purchased gasoline from four different gas stations. The following table shows the price per gallon and the gallons of gasoline that she purchased. In the last month, Nancy purchased gasoline from four different gas stations. The following table shows the price per gallon and the gallons of gasoline that she purchased.   Determine the average price per gallon that Nancy paid for the gasoline. Determine the average price per gallon that Nancy paid for the gasoline.

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From a population of size 1,000, a random sample of 100 items is selected. The mean of the sample

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The following data show the yearly salaries of a sample of EMBA graduates. The following data show the yearly salaries of a sample of EMBA graduates.    a.Compute the mean yearly salary and give your answer in dollars. b.Compute the standard deviation and give your answer in dollars. c.Compute the 75th percentile and give your answer in dollars. Fully explain what the value that you have determined indicates. a.Compute the mean yearly salary and give your answer in dollars. b.Compute the standard deviation and give your answer in dollars. c.Compute the 75th percentile and give your answer in dollars. Fully explain what the value that you have determined indicates.

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The ages of a sample of 8 faculty members selected from the School of Business Administration are shown below. The ages of a sample of 8 faculty members selected from the School of Business Administration are shown below.    a.Compute the average age. b.Determine the mode. c.Compute the median age. d.Compute the standard deviation. a.Compute the average age. b.Determine the mode. c.Compute the median age. d.Compute the standard deviation.

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The following observations are given for two variables. The following observations are given for two variables.    a.Compute and interpret the sample covariance for the above data. b.Compute the standard deviation for x. c.Compute the standard deviation for y. d.Compute and interpret the sample correlation coefficient. a.Compute and interpret the sample covariance for the above data. b.Compute the standard deviation for x. c.Compute the standard deviation for y. d.Compute and interpret the sample correlation coefficient.

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The interquartile range is

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The coefficient of correlation ranges between

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The median of a sample will always equal the

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When computing the mean, the smallest value

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If index i (which is used to determine the location of the pth percentile) is not an integer, its value should be

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Global Engineers hired the following number of Class 1 engineers during the first six months of the past year. (Assume the data represent a sample.) Global Engineers hired the following number of Class 1 engineers during the first six months of the past year. (Assume the data represent a sample.)    a.Determine the mean, the median, the mode, and the range for the above data. b.Compute the variance and the standard deviation. c.Compute the first and the third quartiles. d.Compute the z-scores for the months of May and June. a.Determine the mean, the median, the mode, and the range for the above data. b.Compute the variance and the standard deviation. c.Compute the first and the third quartiles. d.Compute the z-scores for the months of May and June.

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Exhibit 3-2 A researcher has collected the following sample data 5 12 6 8 5 6 7 5 12 4 -Refer to Exhibit 3-2. The mode is

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The measure of location which is the most likely to be influenced by extreme values in the data set is the

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The following data represent the daily demand (y in thousands of units) and the unit price (x in dollars) for a product. The following data represent the daily demand (y in thousands of units) and the unit price (x in dollars) for a product.    a.Compute and interpret the sample covariance for the above data. b.Compute and interpret the sample correlation coefficient. a.Compute and interpret the sample covariance for the above data. b.Compute and interpret the sample correlation coefficient.

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