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Essentials of Modern Business Statistics with Microsoft Excel Complete Exam Questions with Correct Verified Solutions Updated 2025/2026

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Essentials of Modern Business Statistics with Microsoft Excel Complete Exam Questions with Correct Verified Solutions Updated 2025/2026 1. Chebyshev's theorem - ANSWER A theorem that can be used to make statements about the proportion of data values that must be within a specified number of standard deviations of the mean. 2. empirical rule - ANSWER A rule that can be used to compute the percentage of data values that must be within one, two, and three standard deviations of the mean for data that exhibit a bell shaped distribution. 3. outliers - ANSWER An unusually small or unusually large data value. 4. five-number summary - ANSWER A technique that uses five numbers to summarize the data: smallest value, first quartile, median, third quartile, and largest value. 5. boxplot - ANSWER A graphical summary of data based on a five-number summary. 6. covariance - ANSWER A measure of linear association between two variables. 7. correlation coefficient - ANSWER A measure of linear association between two variables that takes on values between -1 and +1. 8. Pearson product moment correlation coefficient - ANSWER A measure of the linear relationship between two variables. 9. random variable - ANSWER A numerical description of the outcome of an experiment. 10. discrete random variable - ANSWER A random variable that may assume either a finite number of values or an infinite sequence of values. 11. continuous random variable - ANSWER A random variable that may assume any numerical value in an interval or collection of intervals. 12. probability distribution - ANSWER A description of how the probabilities are distributed over the values of the random variable. 13. probability function - ANSWER A function that provides the probability that a random variable assumes a particular value for a discrete random variable. 14. empirical discrete distribution - ANSWER A discrete probability distribution for which the relative frequency method is used to assign the probabilities. 15. discrete uniform probability distribution - ANSWER A probability distribution for which each possible value of the random variable has the same probability. 16. expected value - ANSWER A measure of the central location, or mean, of a random variable. 17. variance - ANSWER A measure of the variability, or dispersion, of a random variable. 18. standard deviation - ANSWER The positive square root of the variance. 19. bivariate probability distribution - ANSWER A probability distribution involving two random variables. 20. binomial experiment - ANSWER An experiment having certain properties. 21. binomial probability distribution - ANSWER A probability distribution involving two random variables. 22. binomial probability function - ANSWER The function used to compute binomial probabilities. 23. Poisson probability distribution - ANSWER A probability distribution showing the probability of x occurrences of an event over a specified interval of time or space.

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Essentials of Modern Business
Statistics with Microsoft Excel
Complete Exam Questions with
Correct Verified Solutions
Updated 2025/2026

1. Chebyshev's theorem - ANSWER ✓ A theorem that can be used to
make statements about the proportion of data values that must be
within a specified number of standard deviations of the mean.

2. empirical rule - ANSWER ✓ A rule that can be used to compute
the percentage of data values that must be within one, two, and
three standard deviations of the mean for data that exhibit a bell-
shaped distribution.

3. outliers - ANSWER ✓ An unusually small or unusually large data
value.

4. five-number summary - ANSWER ✓ A technique that uses five
numbers to summarize the data: smallest value, first quartile,
median, third quartile, and largest value.

5. boxplot - ANSWER ✓ A graphical summary of data based on a
five-number summary.

6. covariance - ANSWER ✓ A measure of linear association between
two variables.

, 7. correlation coefficient - ANSWER ✓ A measure of linear
association between two variables that takes on values between -1
and +1.

8. Pearson product moment correlation coefficient - ANSWER ✓ A
measure of the linear relationship between two variables.

9. random variable - ANSWER ✓ A numerical description of the
outcome of an experiment.

10. discrete random variable - ANSWER ✓ A random variable
that may assume either a finite number of values or an infinite
sequence of values.

11. continuous random variable - ANSWER ✓ A random
variable that may assume any numerical value in an interval or
collection of intervals.

12. probability distribution - ANSWER ✓ A description of how
the probabilities are distributed over the values of the random
variable.

13. probability function - ANSWER ✓ A function that provides
the probability that a random variable assumes a particular value
for a discrete random variable.

14. empirical discrete distribution - ANSWER ✓ A discrete
probability distribution for which the relative frequency method is
used to assign the probabilities.

15. discrete uniform probability distribution - ANSWER ✓ A
probability distribution for which each possible value of the
random variable has the same probability.

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