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Univariate Measures - position measurements - Coggle Diagram
Univariate Measures - position measurements
Characteristic
Mean/arithmetic mean or average
Mode/statistical mode or modal value.
Are statistical parameters that allow defining a set of data
Parameters
center position measurements
Mean
Median
Pair
Odd
Mode
non-central position measures
Quintiles:
20%, 40%, 60% and 80%
Deciles:
10%, 20%, 30%,… 90%
Quartiles:
25% - 50% - 75%
Percentiles:
are the values that divide an ordered data set into one hundred equal parts.
Classification
non-central position measures
They are used to divide the data into equal intervals.
Quintiles:
separate the data into five equal parts.
Quartiles:
divide the data sample into four identical parts.
Deciles:
divide the data set into ten intervals of the same width.
Percentiles:
divide the data into one hundred equivalent parts.
center position measurements
determine the central values of a set of data
Mode:
it is the value that occurs the most in the data set.
Bimodal mode: the maximum number of repetitions occurs in two different values and both values are repeated the same number of times.
Multimodal mode: three or more values have the same maximum number of repetitions.
Unimodal mode:
there is only one value with the maximum number of repetitions.
Median:
is the middle value of all the data ordered from smallest to largest.
Mean:
is the average of all the data in the sample.
