# Essay on Qnt 561 Final Exam

7196 Words May 10th, 2016 29 Pages
QNT 561 FINAL EXAM

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1) A difference between calculating the sample mean and the population mean is
A) Only in the symbols, we use instead of μ and n instead of N
B) We divide the sum of the observations by n - 1 instead of n.
C) The observations are ranked and select the middle value for the population mean.
D) There are no differences.

2) Which of the following measures of central location is affected most by extreme values?
A) Median
B) Mean
C) Mode
D) Geometric mean

3) Which level of measurement is required for the median?
A) Nominal
B) Ordinal
C) Interval
D) Ratio 4) Which level of measurement is
11) Which of the following is not a measure of dispersion?
A) Range
B) Variance
C) Standard deviation
D) All of the above are measures of dispersion

12) A disadvantage of the range is
A) Only two values are used in its calculation.
B) It is in different units than the mean.
C) It does not exist for some data sets.
D) All of the above.

13) The mean deviation is
A) Based on squared deviations from the mean.
B) Also called the variance.
C) Based on absolute values.
D) Always reported in squared units.

14) The standard deviation is
A) Based on squared deviations from the mean.
B) In the same units as the mean.
C) Uses all the observations in its calculation.
D) All of the above.

15) The variance is
A) Found by dividing by N by the mean.
B) In the same units as the original data.
C) Found by squaring the standard deviation.
D) All of the above.

16) In a positively skewed distribution
A) The mean, median, and mode are all equal.
B) The mean is larger than the median.
C) The median is larger than the mean.
D) The standard deviation must be larger than the mean or the median.

17) Which of the following statements is true regarding the standard deviation?
A) It cannot assume a negative value.
B) If it is zero, then all the data values are the same.
C) It is in the same units as the mean.
D) All the above are all correct.

18) Under which of the following conditions would the standard deviation assume a negative value.

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