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measure of central tendancy |
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Definition
A value that represents a typical, or central, entry of a data set.
The mean of a data set is a __________. So are the median and mode. |
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The sum of the data entries divided by the number of entries. The __________ is not resistant to outlying values.
population: μ=Σx/N
sample: x bar = Σx/n |
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The value that lies in the middle of the data when the data set is ordered.
The __________ is resistant to outlying values. |
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Definition
The __________ is the data entry that occurs with the greatest frequency. If no data entry is repeated, the data set has no __________. If two entries occur with the same greatest frequency, each entry is a __________ and the data set is called bi__________al.
For qualitative data, __________ is the only measure of central tendancy. |
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Definition
A frequency distribution is __________ when a vertical line can be drawn through the middle of a graph of the distribution and the resulting halves are approximately mirror images. |
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Definition
A frequency distribution is __________ when all entries, or classes, in the distribution have equal or approximately equal frequencies. A __________ distribution is also symmetric. |
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A frequency distribution is __________ if the "tail" of the graph elongates more to one side than to the other.
A distribution is __________ left (negatively __________) if the tail extends to the left. A distribution is __________ right (positively __________) if the tail extends to the right. |
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Definition
A numerical description of how "spread out" a data set is.
Range is a __________. So are variance and standard deviation. |
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Definition
the difference between the maximum and minimum data entries in a data set
__________ = (maximum entry) – (minimum entry) |
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Definition
The __________ of an entry x in a data set is the difference between the entry and the mean of the data set.
population: _____ of x = x – μ
sample: _____ x = x – x bar |
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Definition
The __________ of an entry x in a data set is the square of the difference between the entry and the mean of the data set.
population: _____ = (x – μ)2
sample: _____ = (x – x bar)2 |
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Term
sum of squared deviations |
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Definition
The following two expressions represent the __________.
population: _____ = Σ(x – μ)2
sample: _____ = Σ(x – x bar)2 |
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Term
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Definition
The mean of the squared deviations of a data set:
population: σ2 = Σ(x – μ)2/N
sample: s2 = Σ(x – x bar)2/(n-1) |
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Definition
The __________ is the square root of the mean of the squared deviations of a data set. It represents how far a typical data value is from the mean.
population: σ = √(Σ(x – μ)2/N)
sample: s = √(Σ(x – x bar)2/(n-1)) |
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Definition
A __________ specifies where in a data set an entry is located.
A quartile is a __________. So is a percentile or a z-score. |
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The __________ of a data set refers to the minimum entry, the first quartile (Q1), the median (Q2), the third quartile (Q3), and the maximum entry. |
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Definition
the smallest value in a data set |
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the largest value in a data set |
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One of three numbers that divide a data set into four approximately equal parts. 75% of the values in a data set fall below the third __________. |
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One of 99 numbers (P1 to P99) that divide a data set into 100 roughly equal parts. 99% of the data values fall below the 99th __________. |
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Term
interquartile range (IQR) |
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Definition
The __________ is the difference between the third and first quartiles.
__________ = Q3 – Q1 |
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Term
z-score (or standard score) |
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Definition
The __________ represents the number of standard deviations a given value falls from the mean.
_____ = (x – μ)/σ |
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