Deck 3: Numerical Descriptive Techniques
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Deck 3: Numerical Descriptive Techniques
1
If the median, median and mode are all equal, the histogram must be symmetric and bell shaped.
False
2
Lily has been keeping track of what she spends to eat out. The last week's expenditures for meals eaten out were $5.69, $5.95, $6.19, $10.91, $7.49, $14.53, and $7.66. The mean amount Lily spends on meals is $8.35.
True
3
The data set 10, 20, 30 has the same variance as the data set 100, 200, 300.
False
4
In a negatively skewed distribution, the mean is smaller than the median and the median is smaller than the mode.
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5
Suppose a sample of size 50 has a sample mean of 20. In this case, the sum of all observations in the sample is 1,000.
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6
A data sample has a mean of 107, a median of 122, and a mode of 134. The distribution of the data is positively skewed.
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7
is a population parameter and
is a sample statistic.

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8
The median of a set of data is more representative than the mean when the mean is larger than most of the observations.
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9
The value of the mean times the number of observations equals the sum of the observations.
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10
In a histogram, the proportion of the total area which must be to the left of the median is more than 0.50 if the distribution is positively skewed.
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11
The Empirical Rule states that the percentage of observations in a data set (providing that the data set is bell shaped) that fall within one standard deviation of their mean is approximately 75%.
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12
The standard deviation is expressed in terms of the original units of measurement but the variance is not.
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13
The value of the standard deviation may be either positive or negative, while the value of the variance will always be positive.
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14
The median of an ordered data set with 30 items would be the average of the 15th and the 16th observations.
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15
The mean is affected by extreme values but the median is not.
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16
In a bell shaped distribution, there is no difference in the values of the mean, median, and mode.
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17
The difference between the largest and smallest observations in an ordered data set is called the range.
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18
In a histogram, the proportion of the total area which must be to the right of the mean is exactly 0.50 if the distribution is symmetric and unimodal.
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19
In a histogram, the proportion of the total area which must be to the left of the median is less than 0.50 if the distribution is negatively skewed.
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20
The mean is a measure of variability.
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21
The standard deviation is the positive square root of the variance.
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22
In symmetric data, the value for Q2 is always halfway between Q1 and Q3.
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23
The range is considered the weakest measure of variability.
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24
If the distribution of a data set were perfectly symmetric, the distance from Q1 to the median would always equal the distance from Q3 to the median in a box plot.
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25
If two data sets have the same standard deviation, they must have the same coefficient of variation.
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26
Expressed in percentiles, the interquartile range is the difference between the 25th and 75th percentiles.
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27
The length of the box in a box plot portrays the interquartile range.
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28
The value for Q3 can never be smaller than the value for Q1.
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29
The coefficient of variation allows us to compare two sets of data based on different measurement units.
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30
The interquartile range will always exceed that of the range.
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31
The distance between the 25th percentile and the median is always the same as the distance between the median and the 75th percentile.
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32
If the observations are in the millions, a standard deviation of 10 would be considered small. If the observations are all less than 50, a standard deviation of 10 would be considered large.
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33
The interquartile range is found by taking the difference between the 1st and 3rd quartiles and dividing that value by 2.
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34
The variance is more meaningful and easier to interpret compared to the standard deviation.
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35
A population with 200 elements has a variance of 20. From this information, it can be shown that the population standard deviation is 10.
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36
The coefficient of variation is a measure of variability.
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37
The first and second quartiles of a data set can never be equal.
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38
Quartiles divide the observations in a data set into four parts with the same amount of data in each part.
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39
If two data sets have the same range, the distances from the smallest to largest observations in both sets will be the same.
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40
The units for the variance are the same as the units for the original data (for example, feet, inches, etc.).
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41
The coefficient of correlation r is a number that indicates the direction and the strength of the linear relationship between the dependent variable y and the independent variable x.
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42
A box plot is a graphical representation of the 5-number summary.
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43
If the coefficient of correlation r = -.81, the standard deviations of x and y are 20 and 25, respectively, then cov(x, y) must be -405.0.
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44
The variance is a measure of the linear relationship between two variables
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45
The interquartile range is an interval of numbers starting at Q1 and ending at Q3.
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46
If the coefficient of correlation r = 0, there can be no relationship whatsoever between the dependent variable y and the independent variable x.
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47
The 5-number summary consists of the smallest observation, the first quartile, the median, the third quartile, and the largest observation.
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48
The interquartile range is a measure of variability in a set of data.
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49
Expressed in percentiles, the fifth decile is the 50th percentile or the median.
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50
The line drawn within the box of a box plot always represents the mean.
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51
Three measures of the linear relationship between x and y are the coefficient of correlation, the coefficient of determination, and the coefficient of variation.
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52
If the coefficient of correlation r = 0, there can be no linear relationship between the dependent variable y and the independent variable x.
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53
The advantage that the coefficient of correlation has over the covariance is that the former has set lower and upper limits.
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54
If the standard deviation of x is 18, the covariance of x and y is 120, the coefficient r = 0.90, then the standard deviation of y is 54.87.
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55
If
,
, n = 12, and the slope equals 0.5, then the y-intercept of the least squares line is b0 = 276.08.


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56
Percentiles can be converted into quintiles and deciles, where quintiles divide the data into fifths and deciles divide the data into tenths.
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57
The line drawn within the box of a box plot always represents the median.
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58
If the standard deviations of x and y are 12.5 and 10.8, respectively, and the covariance is 118.8, then the coefficient of correlation r is 0.88.
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59
Generally speaking, if two variables are unrelated, the covariance will be a number close to zero.
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60
If the covariance of x and y is 26.16, and the standard deviation of x is 32.7, then the slope of the least squares line is b1 =.80.
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61
In a perfectly symmetric bell shaped "normal" distribution:
A) the mean equals the median.
B) the median equals the mode.
C) the mean equals the mode.
D) All of these choices are true.
A) the mean equals the median.
B) the median equals the mode.
C) the mean equals the mode.
D) All of these choices are true.
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62
Which of the following summary measures is affected most by extreme values?
A) The median.
B) The mean.
C) The range.
D) The interquartile range.
A) The median.
B) The mean.
C) The range.
D) The interquartile range.
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63
Which measure of central location is meaningful when the data are ordinal?
A) The mean
B) The median
C) The mode
D) All of these choices are meaningful for ordinal data.
A) The mean
B) The median
C) The mode
D) All of these choices are meaningful for ordinal data.
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64
Which of the following is a measure of variability?
A) The interquartile range
B) The variance
C) The coefficient of variation
D) All of these choices are true.
A) The interquartile range
B) The variance
C) The coefficient of variation
D) All of these choices are true.
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65
Which of these measures of central location is not sensitive to extreme values?
A) The mean
B) The median
C) The mode
D) All of these choices are true.
A) The mean
B) The median
C) The mode
D) All of these choices are true.
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66
When the standard deviation is expressed as a percentage of the mean, the result is the coefficient of correlation.
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67
If the coefficient of correlation r = 1, then the best-fit linear equation will actually include all of the observations.
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68
In a positively skewed distribution:
A) the median equals the mean.
B) the median is less than the mean.
C) the median is larger than the mean.
D) the mean can be larger or smaller than the median.
A) the median equals the mean.
B) the median is less than the mean.
C) the median is larger than the mean.
D) the mean can be larger or smaller than the median.
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69
A perfect straight line sloping upward would produce a correlation coefficient value of 1.0.
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70
Which of the following statistics is a measure of central location?
A) The mean
B) The median
C) The mode
D) All of these choices are true.
A) The mean
B) The median
C) The mode
D) All of these choices are true.
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71
If two data sets have the same range:
A) the distances from the smallest to largest observations in both sets will be the same.
B) the smallest and largest observations are the same in both sets.
C) both sets will have the same standard deviation.
D) both sets will have the same interquartile range.
A) the distances from the smallest to largest observations in both sets will be the same.
B) the smallest and largest observations are the same in both sets.
C) both sets will have the same standard deviation.
D) both sets will have the same interquartile range.
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72
Which of the following statements about the mean is not always correct?
A) The sum of the deviations from the mean is zero.
B) Half of the observations are on either side of the mean.
C) The mean is a measure of the central location.
D) The value of the mean times the number of observations equals the sum of all observations.
A) The sum of the deviations from the mean is zero.
B) Half of the observations are on either side of the mean.
C) The mean is a measure of the central location.
D) The value of the mean times the number of observations equals the sum of all observations.
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73
Which of the following summary measures is sensitive to extreme values?
A) The median
B) The interquartile range
C) The mean
D) The first quartile
A) The median
B) The interquartile range
C) The mean
D) The first quartile
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74
Which of the following statements is true?
A) When the distribution is positively skewed, mean > median > mode.
B) When the distribution is negatively skewed, mean < median < mode.
C) When the distribution is symmetric and unimodal, mean = median = mode.
D) When the distribution is symmetric and bimodal, mean = median = mode.
A) When the distribution is positively skewed, mean > median > mode.
B) When the distribution is negatively skewed, mean < median < mode.
C) When the distribution is symmetric and unimodal, mean = median = mode.
D) When the distribution is symmetric and bimodal, mean = median = mode.
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75
Which measure of central location can be used for both interval and nominal variables?
A) The mean
B) The median
C) The mode
D) All of these choices are true.
A) The mean
B) The median
C) The mode
D) All of these choices are true.
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76
The Empirical Rule states that the approximate percentage of measurements in a data set (providing that the data set has a bell shaped distribution) that fall within two standard deviations of their mean is approximately:
A) 68%.
B) 75%.
C) 95%.
D) 99%.
A) 68%.
B) 75%.
C) 95%.
D) 99%.
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77
Which of the following statements about the median is not true?
A) It is more affected by extreme values than the mean.
B) It is a measure of central location.
C) It is equal to Q2.
D) It is equal to the mode in a bell shaped distribution.
A) It is more affected by extreme values than the mean.
B) It is a measure of central location.
C) It is equal to Q2.
D) It is equal to the mode in a bell shaped distribution.
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78
In a histogram, the proportion of the total area which must be to the left of the median is:
A) exactly 0.50.
B) less than 0.50 if the distribution is negatively skewed.
C) more than 0.50 if the distribution is positively skewed.
D) unknown.
A) exactly 0.50.
B) less than 0.50 if the distribution is negatively skewed.
C) more than 0.50 if the distribution is positively skewed.
D) unknown.
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79
Which of the following statements is true for the following observations: 9, 8, 7, 9, 6, 11, and 13?
A) The mean, median and mode are all equal.
B) Only the mean and median are equal.
C) Only the mean and mode are equal
D) Only the median and mode are equal.
A) The mean, median and mode are all equal.
B) Only the mean and median are equal.
C) Only the mean and mode are equal
D) Only the median and mode are equal.
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80
In a histogram, the proportion of the total area which must be to the right of the mean is:
A) less than 0.50 if the distribution is negatively skewed.
B) exactly 0.50.
C) more than 0.50 if the distribution is positively skewed.
D) exactly 0.50 if the distribution is symmetric and unimodal.
A) less than 0.50 if the distribution is negatively skewed.
B) exactly 0.50.
C) more than 0.50 if the distribution is positively skewed.
D) exactly 0.50 if the distribution is symmetric and unimodal.
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