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philomath_statistics_vocab_01
vocabulary for 2.2–2.5 of Elementary Statistics
22
Mathematics
11th Grade
12/17/2012

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Term
measure of central tendancy
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.

Term
mean
Definition

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

Term
median
Definition

The value that lies in the middle of the data when the data set is ordered.

 

The __________ is resistant to outlying values.

Term
mode
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.

Term
symmetric
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.

Term
uniform
Definition

A frequency distribution is __________ when all entries, or classes, in the distribution have equal or approximately equal frequencies. A __________ distribution is also symmetric.

Term
skewed
Definition

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.

Term
measure of variation
Definition

A numerical description of how "spread out" a data set is.

 

Range is a __________. So are variance and standard deviation.

Term
range
Definition

the difference between the maximum and minimum data entries in a data set

 

__________ = (maximum entry) – (minimum entry)

Term
deviation
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 = xx bar

Term
squared devation
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: _____ = (xx bar)2

Term
sum of squared deviations
Definition

The following two expressions represent the __________.

 

population: _____ = Σ(x – μ)2

 

sample: _____ = Σ(xx bar)2

Term
variance
Definition

The mean of the squared deviations of a data set:

 

population: σ2 = Σ(x – μ)2/N

 

sample: s2 = Σ(xx bar)2/(n-1)

Term
standard deviation
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(xx bar)2/(n-1))

Term
measure of position
Definition

A __________ specifies where in a data set an entry is located.

 

A quartile is a __________. So is a percentile or a z-score.

Term
five-number summary
Definition

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.

Term
minimum
Definition

the smallest value in a data set

Term
maximum
Definition

the largest value in a data set

Term
quartile
Definition

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 __________.

Term
percentile
Definition

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 __________.

Term
interquartile range (IQR)
Definition

The __________ is the difference between the third and first quartiles.

 

__________ = Q3Q1

Term
z-score (or standard score)
Definition

The __________ represents the number of standard deviations a given value falls from the mean.

 

_____ = (x – μ)/σ

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