The sample variance
a. is always smaller than the true value of the population variance
b. is always larger than the true value of the population variance
c. could be smaller, equal to, or larger than the true value of the population variance
d. can never be zero
Answer: c. could be smaller, equal to, or larger than the true value of the population variance
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Essentials of Statistics for Business and Economics Chapter 3
- The numerical value of the variance
- The coefficient of correlation
- The coefficient of correlation ranges between
- A numerical measure of linear association between two variables is the
- Positive values of covariance indicate
- A numerical measure of linear association between two variables is the
- The measure of dispersion which is not measured in the same units as the original data is the
- The variance of the sample
- The symbol σ2 is used to represent
- The symbol σ is used to represent
- Which of the following symbols represents the size of the sample
- Which of the following symbols represents the size of the population?
- The sum of deviations of the individual data elements from their mean is
- The variance can never be
- The coefficient of variation is
- The numerical value of the standard deviation can never be
- The descriptive measure of dispersion that is based on the concept of a deviation about the mean is
- When should measures of location and dispersion be computed from grouped data rather than from individual data values?
- The measure of dispersion that is influenced most by extreme values is
- In computing descriptive statistics from grouped data,
- If the variance of a data set is correctly computed with the formula using n - 1 in the denominator, which of the following is true?
- The interquartile range is used as a measure of variability to overcome what difficulty of the range?
- Which of the following is not a measure of dispersion?
- When data are positively skewed, the mean will usually be
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