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A measurement that is relatively unaffected by extreme observations
resistant value
Individual observations that are quantitative in nature
numerical data
The proportion or percent of observations within a category. It is found by dividing the frequency of a category by the sum of the frequencies
relative frequency
The average value in an entire population denoted by µ
population mean
Extreme observations in the data set
outliers
A measurement that describes the spread of middle 50% of a data set
IQR
A distribution that resembles a mirror image on either side of the center
symmetrical distribution
A measurement that describes variability - the average of the squared deviations from the mean.
s2= Σ ( xi- x )2/ ( n – 1)
variance
The middle value in an ordered list of sample observations. It is insensitive to outliers
median
A graph used with a univariate numerical data set where frequencies are shown on the vertical axis, and intervals or bins define the values on the horizontal axis
histogram
A descriptive measure of a population
parameter
Qualitative variables allowing for classification of individuals based on some attribute or characteristic
categorical data
A graphical display used with categorical data, where frequencies for each category are shown in vertical bars
bar chart
The minimum, the first quartile Q1 , median, third quartile (Q3), and maximum values in a data set.
five number summary
A descriptive measure of a sample
statistic
A graphical display of the five-number summary of a set of data, which also shows outliers
boxplot
The row totals and column totals in a two-way table of the two individual variables
marginal distribution
A unimodal, asymmetric, distribution that tends to slant – most of the data are clustered on one side of the distribution and “tails” off on the other side
skewed distribution
A measure of variability that is the average distance of the observation from the mean (the square root of the variance)
standard deviation
A distribution with two clear peaks
bimodal
The distributions of the row variable for each value of the column variable and the distribution of the column variable for each value of the row variable
conditional distribution
In a numerical data set, describes how widely dispersed the values are from the mean and each other
variability
All data values in the distribution have the same or close to same frequencies
uniform distribution
A measurement of variability that is found by finding the difference between the maximum and minimum values of a data set.
range
The difference between an observation and the mean of the data set
deviation from the mean