Deck 11: Making Sense of Data: First Steps
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Deck 11: Making Sense of Data: First Steps
1
The _________ is a value that divides a distribution in half.
A) Mean
B) Mode
C) Median
D) Weighted mean
A) Mean
B) Mode
C) Median
D) Weighted mean
C
2
A ____________ statistic is a number that, because of its definition and formula, describes certain characteristics or properties of a batch of numbers.
A) Relative
B) Cumulative
C) Descriptive
D) Proportional
A) Relative
B) Cumulative
C) Descriptive
D) Proportional
C
3
A frequency distribution that displays a few observations on the left or low end of the scale, and most observations are in the middle or high end of the scale is called
A) Positively skewed
B) Negatively skewed
C) Positive kurtosis
D) Negative kurtosis
A) Positively skewed
B) Negatively skewed
C) Positive kurtosis
D) Negative kurtosis
B
4
The _________ is the square root of the _________.
A) Range, interquartile range
B) Interquartile range, range
C) Standard deviation, variance
D) Variance, standard deviation
A) Range, interquartile range
B) Interquartile range, range
C) Standard deviation, variance
D) Variance, standard deviation
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5
Some measures of central tendency, known as _______________, are not sensitive to one or a few extremes values.
A) Outliers
B) Recalcitrant measures
C) Central tendency
D) Resistant measures
A) Outliers
B) Recalcitrant measures
C) Central tendency
D) Resistant measures
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6
An empirical ___________ distribution is a table that shows the number of observations having each value of a variable.
A) Frequency
B) Proportion
C) Cumulative proportion
D) Variance
A) Frequency
B) Proportion
C) Cumulative proportion
D) Variance
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7
The ____________ is the square root of the variance.
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8
One can calculate the range by subtracting the ___________ from the ____________.
A) Minimum, maximum
B) Maximum, minimum
C) Median, mean
D) Mean, median
A) Minimum, maximum
B) Maximum, minimum
C) Median, mean
D) Mean, median
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9
The ___________ is the average or mean of squared deviations, or the average of all the squared differences between each score and the mean.
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10
The ____________ is the category with the greatest frequency of observations.
A) Median
B) Mode
C) Mean
D) Weighted mean
A) Median
B) Mode
C) Mean
D) Weighted mean
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11
A __________ is a type of bar graph in which the height and area of the bars are proportional to the frequencies in each category of a nominal variable or in intervals of a continuous variable.
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12
A good reason to use the trimmed mean instead of the mean is to correct for
A) Outliers
B) Variation
C) Discrepancies
D) Bias
A) Outliers
B) Variation
C) Discrepancies
D) Bias
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13
By subtracting the minimum value from the maximum value in a batch of numbers you can calculate the _______.
A) Range
B) Interquartile range
C) Variance
D) Standard deviation
A) Range
B) Interquartile range
C) Variance
D) Standard deviation
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14
If there is no variability (all the scores of the variable have the same value), measures of dispersion will equal
A) 0
B) 1
C) -1
D) Cannot be calculated
A) 0
B) 1
C) -1
D) Cannot be calculated
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15
The __________ is a value that divides a distribution in half.
A) Median
B) Mode
C) Mean
D) Weighted mean
A) Median
B) Mode
C) Mean
D) Weighted mean
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16
A measure of _____________ describes the typical case in distribution.
A) Variation
B) Protocol
C) Deviation
D) Central tendency
A) Variation
B) Protocol
C) Deviation
D) Central tendency
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17
Why would one want to use a trimmed mean instead of a mean? In your answer please provide a numerical example that demonstrates the advantage.
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18
A _______ displays all of the observed values in a batch of numbers as dots along a horizontal or vertical line that represents the variable.
A) Bar chart
B) Histogram
C) Dot chart
D) Box plot
A) Bar chart
B) Histogram
C) Dot chart
D) Box plot
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19
By transforming the raw frequency into a proportion or percentage we get a __________ frequency.
A) Cumulative
B) Relative
C) Proportional
D) Distributive
A) Cumulative
B) Relative
C) Proportional
D) Distributive
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20
All of the following statements are true of measures of dispersion, except
A) If there is no variability, the measure will equal 0
B) If there is variability, the measure will be greater than 1
C) The measure will always be a positive number
D) The greater the variability in the data, the larger the numerical value of the measure
A) If there is no variability, the measure will equal 0
B) If there is variability, the measure will be greater than 1
C) The measure will always be a positive number
D) The greater the variability in the data, the larger the numerical value of the measure
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21
Please identify and define three measures of central tendency. Use an example for why you might want to calculate all three measures.
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22
What is the sum of the deviations from the mean? How do you know your answer will always be correct regardless of the data used?
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23
How do measures of central tendency and variation complement each other when describing data?
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24
Why is the mean vulnerable to outliers while the median and mode are not?
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25
Please explain the features of the normal distribution and include a labeled figure.
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