Exam 3: Descriptive Statistics: Numerical Measures
Exam 1: Data and Statistics98 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Presentations64 Questions
Exam 3: Descriptive Statistics: Numerical Measures156 Questions
Exam 4: Introduction to Probability138 Questions
Exam 5: Discrete Probability Distributions122 Questions
Exam 6: Continuous Probability Distributions165 Questions
Exam 7: Sampling and Sampling Distributions131 Questions
Exam 8: Interval Estimation131 Questions
Exam 9: Hypothesis Tests133 Questions
Exam 10: Statistical Inference About Means and Proportions With Two Populations121 Questions
Exam 11: Inferences About Population Variances91 Questions
Exam 12: Tests of Goodness of Fit and Independence80 Questions
Exam 13: Analysis of Variance and Experimental Design113 Questions
Exam 14: Simple Linear Regression140 Questions
Exam 15: Multiple Regression106 Questions
Exam 16: Regression Analysis: Model Building75 Questions
Exam 17: Index Numbers52 Questions
Exam 18: Forecasting67 Questions
Exam 19: Nonparametric Methods81 Questions
Exam 20: Statistical Methods for Quality Control30 Questions
Exam 21: Decision Analysis65 Questions
Exam 22: Sample Survey63 Questions
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A numerical measure of linear association between two variables is the
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Which of the following symbols represents the size of the sample
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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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Exhibit 3-3
A researcher has collected the following sample data.The mean of the sample is 5.
-Refer to Exhibit 3-3.The range is

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In 2009,the average donation to the Community Kitchen was $900 with a standard deviation of $180.In 2010,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 following frequency distribution shows the yearly tuition (in $1,000s)of a sample of private colleges.
For the above data,compute the mean yearly tuition.(Give your answer in dollars. )

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The heights (in inches)of 25 individuals were recorded and the following statistics were calculated
The coefficient of variation equals

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The interquartile range is used as a measure of variability to overcome what difficulty of the range?
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A numerical measure of linear association between two variables is the
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Exhibit 3-3
A researcher has collected the following sample data.The mean of the sample is 5.
-Refer to Exhibit 3-3.The variance is

(Multiple Choice)
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The hourly wages of a sample of eight individuals is given below.
For the above sample,determine the following measures:
a.The mean.
b.The standard deviation.
c.The 25th percentile.

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The last semester grades of Nancy,a freshman at a local college are shown below.
The local university uses a 4 point grading system,i.e. ,A = 4,B = 3,C = 2,D = 1,F = 0.Compute Nancy's semester grade point average.

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The following data show the yearly salaries of football coaches at some state supported universities.
For the above sample,determine the following measures.
a.The mean yearly salary
b.The standard deviation
c.The mode
d.The median
e.The 70th percentile

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Consider the data in the following frequency distribution.Assume the data represent a population.
For the above data,compute the following.
a.The mean
b.The variance
c.The standard deviation

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The frequency distribution below shows the monthly expenditure on gasoline for a sample of 14 individuals.
a.Compute the mean.
b.Compute the standard deviation.

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Marissa,a freshman at a local college,just completed 18 credit hours.Her grade report is presented below.
The local university uses a 4 point grading system,i.e. ,A = 4,B = 3,C = 2,D = 1,F = 0.Compute Marissa's semester grade point average.

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In 2008,the average age of students at UTC was 22 with a standard deviation of 3.96.In 2009,the average age was 24 with a standard deviation of 4.08.In which year do the ages show a more dispersed distribution? Show your complete work and support your answer.
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The following frequency distribution shows the time (in minutes)that a sample of students uses the computer terminals per day.
a.Compute the mean.
b.Compute the variance.
c.Compute the standard deviation.
d.Compute the coefficient of variation.

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