The variance can never be
a. zero
b. larger than the standard deviation
c. negative
d. smaller than the standard deviation
Answer: c. negative
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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 coefficient of variation is
- The sample variance
- 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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