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Let's go

What is Central Tendency

When you hear the news, chances are the statistics that are most often used when talking about anything from house prices to rainfall are measures of central tendency. Measures of central tendency are statistics that give us information about the centre of the data set.

MeasureDefinitionExample: House Price
MeanThe average of a variable15,060
MedianThe midpoint of a variable15,000
ModeThe most frequently occurring value of a variable10,000

central_tendency_definition As you can see, these three measures try to calculate information on the middle point of the data.

MeasureValueDescription
Mode10,000Gives the value that occurs the most, which can help us understand what the most common house price is
Median15,000Gives the middle point of all house prices, which tells us the house price that half of all houses are below and above
Mean15,060Gives us the average of all house prices, which tells us more or less what house price to expect

Measures of Spread

Measures of spread, on the other hand, are measures that try to tell us how the values in our variable are distributed around the centre. While there are many types of spread measures, these are the three most common ones. measures_of_spread Looking at the same example, we can see there are some major differences in what we can analyse with measures of spread.

MeasureValueDescription
Standard Deviation4,053Gives the average distance between all observations and the mean
Variance16,426,400Gives the average squared difference between all observations and the mean
Range12,000Gives the difference between the max in min values in the variable

Definition of the Mean

The mean is typically defined as the average of a variable. This number gives us an idea of the average value per observation. Take the following data set as an example.

No.Salary
14,000
23,000
34,500
42,800

The average for this group of salaries is 3,575. As you can see, this does not mean that each value is equal to 3,575 - it simply gives us an idea of the amount we can more or less expect for this group. mean_formula

Types of Means

While we may be most familiar with the concept of a simple average, there are actually more types of means. The four most common means, along with their definitions and formulas, if any, are listed in the table below.

TypeDefinitionFormula
Arithmetic meanThe simple average of a group of numbers

Weighted meanAn average that gives different weights to different values

Geometric meanUsually used to calculate the average of rates (like growth rates)

Harmonic meanUsually used to calculate the average of ratios

Arithmetic Mean Formula

While there are practical applications for the means mentioned in the previous sections, the most common mean that you will calculate is the arithmetic mean. Recall that the formula is like the one below. \[ \dfrac{\sum x_{i}}{n} \] While this notation can seem a bit complicated, it is broken down and explained in the table below.

ElementDescriptionExample

The sum of all the elements that come after this symbol

=

The ith element of this variable

nThe sample sizeThis table contains an x with an n of 3

Problem 1

You are interested in knowing how many cups of coffee people drink on average every day. To calculate this, you get a sample of 15 people and ask them how many cups of coffee they drink during the day. Explain which mean you would use here and calculate this mean using the data below.

Person# of Cups
11
20
32
44
53
63
72
84
90
100
111
122
132
141
151

Solution 1

In order to calculate the mean, recall that the formula is the following. \[ \dfrac{\sum x_{i}}{n} \] The first thing that we need to do is identify what each element is in this formula. This is done in the table below.

# of cups

26
nSample size15
In other words, we simply add all the number of cups of coffee people drink per day and find the sample size, which is the number of people. \[ \frac{1+0+2+4+3+3+2+4+0+0+1+2+2+1+1}{15} = \frac{26}{15} = 1.73 \] This means that, on average, this group of people drinks 1.7 cups of coffee per day. probability_example

Problem 2

A company wants to find out how many different songs people listen to in a day on average, as this will help them understand how many distinct songs people listen to. They have a sample of 10 people and want to take the arithmetic mean in order to measure the information they need. Calculate the arithmetic mean and plot the mean on a graph.

Person# of Distinct Songs
140
210
35
480
550
630
735
829
90
101

Solution 2

Like in the previous example, we first need to calculate each element of the formula. This is performed in the table below.

# of songs

280
nSample size10
Now, we simply divide the sum of all the number of songs by the sample size. \[ \frac{280}{10} = 28 \] This means that on average, people listen to 28 songs per day. Now, let’s plot this onto a graph. mean_example

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Emma

Emma

I am passionate about travelling and currently live and work in Paris. I like to spend my time reading, gardening, running, learning languages and exploring new places.