Mathematics/Statistics/Core Measurements: Difference between revisions

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The "mean" and "average" are effectively two different words for the same thing.
The "mean" and "average" are effectively two different words for the same thing.


Effectively, this attempts to get the most "middle" value given a set of value.<br>
Effectively, this attempts to get the most "middle" value given a set of items.<br>


=== Standard (Unweighted) Mean ===
=== Standard (Unweighted) Mean ===
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  Step 1) Sum: 2*1 + 2*4 + 2*7 + 2*5 + 1*9 + 1*9 + 1*2 + 1*10 = 64
  Step 1) Sum: 2*1 + 2*4 + 2*7 + 2*5 + 1*9 + 1*9 + 1*2 + 1*10 = 64
  Step 2) Divide sum by weights: <math>\frac{64}{2 + 2 + 2 + 2 + 1 + 1 + 1 + 1}</math> = <math>\frac{64}{12}</math> = 5.333
  Step 2) Divide sum by weights: <math>\frac{64}{2 + 2 + 2 + 2 + 1 + 1 + 1 + 1}</math> = <math>\frac{64}{12}</math> = 5.333
== Median ==
Similarly to mean, the median attempts to get the most "middle" item given a set of items.<br>
However, instead of doing so by literal value, it does this by count of items.
For odd numbered sets, the median is the exact middle number.
Given a list of [1, 2, 3, 5, 7], the median is 3.
For even numbered sets, the median is the middle two numbers.
Given a list of [1, 2, 3, 4, 5, 7], the medians are 3 and 4.
== Mode ==
The mode is the value that occurs most frequently in a set of items.
Given a list of [1, 2, 2, 3, 3, 4, 4, 4], the mode is 4.

Revision as of 16:18, 10 May 2020

Below are some of the most basic, and regularly used forms of measurements in statistics.

Mean/Average

The "mean" and "average" are effectively two different words for the same thing.

Effectively, this attempts to get the most "middle" value given a set of items.

Standard (Unweighted) Mean

Unweighted Mean is what most people think of when someone says "mean" or "average.
Effectively, take all values in a list and add them together. Then divide this sum by the total count of original values.

Scientific Notation:

Given a list of n terms, [x_0, x_1, ..., x_{n-1}, x_{n}]:
 

Direct Notation:

Given a list of n terms, [x_0, x_1, ..., x_{n-1}, x_n]:
 

Example:

Given a list of [1, 4, 7, 5, 9, 9, 2, 10].
 
Step 1) Sum: 1 + 4 + 7 + 5 + 9 + 9 + 2 + 10 = 47
Step 2) Divide sum by count:  = 5.875

Weighted Mean

Weighted Mean is similar to above, except that each value has a "weight" associated with it.

Scientific Notation:

Given a list of n terms, [x_0, x_1, ..., x_{n-1}, x_{n}], with associated weights [w_0, w_1, ..., w_{n-1}, w_{n}]:
 

Direct Notation:

Given a list of n terms, [x_0, x_1, ..., x_{n-1}, x_n], with associated weights [w_0, w_1, ..., w_{n-1}, w_{n}]:
 

Example:

Given a list of [1, 4, 7, 5, 9, 9, 2, 10], the first 4 values are twice as important as the last 4.
 
Step 1) Sum: 2*1 + 2*4 + 2*7 + 2*5 + 1*9 + 1*9 + 1*2 + 1*10 = 64
Step 2) Divide sum by weights:  =  = 5.333


Median

Similarly to mean, the median attempts to get the most "middle" item given a set of items.
However, instead of doing so by literal value, it does this by count of items.

For odd numbered sets, the median is the exact middle number.

Given a list of [1, 2, 3, 5, 7], the median is 3.

For even numbered sets, the median is the middle two numbers.

Given a list of [1, 2, 3, 4, 5, 7], the medians are 3 and 4.


Mode

The mode is the value that occurs most frequently in a set of items.

Given a list of [1, 2, 2, 3, 3, 4, 4, 4], the mode is 4.