Statistics explained easy 1 - Descriptives
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Statistics explained easy 1 - Descriptives

Topics: Descriptives, Correlation and Simple Regression. Explanations by hand or with the use of a simple calculator.
4.0 (56 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,589 students enrolled
Last updated 7/2017
Current price: $10 Original price: $195 Discount: 95% off
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  • 2.5 hours on-demand video
  • 1 Article
  • 10 Supplemental Resources
  • 1 Practice Test
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • UNDERSTAND everything about Descriptive Statistics
  • ENROLL in my next courses
  • KNOW about calculating correlation and regression lines (not hypothesis testing)
  • TURN numbers into Statistical results
  • CALCULATE easy descriptives by hand of with a simple calculator
  • APPLY for higher paid jobs
  • HOW to pass your statistics subject
  • STUDY effectively without wasting time
View Curriculum
  • maybe some basic math understanding, but more important, if you don't understand something, just ask, and I will put an extra video ;)

Woooow! Are you at university and you don't understand what your statistics teacher is talking about? Here I will explain everything in an easy way :) Just day to day examples, and you will learn that statistics is not hard at all ;)   A lot of my students who first did not pass statistics get not only a pass but a really high grade :) 

Of course this will not be a completely tailored course for you, (every statistics subject is different), like my private lessons, but I will structure it for you in such a way that you only have to learn the subjects which are relevant for you! This will mean that you can skip a lot of lessons. But hey, perhaps you will become a statisitics geek, and you can finish all the lessons (hahahaha, don't think so!)

I guess to finish one statistics subject on average you will need around 40 hours, but for some people it can be much more or much less.

In this course you will find:

  • all the descriptive statistics which you need to know
  • Basic math skills which you need to perform the statistical calculations
  • Calculate correlation coefficient and a regression slope by hand
  • Next to the calculations I explain you fully what all topics mean and how to interpret them :)
  • Most important I explain it in an easy going way.
  • A lot of clear examples and hand on exercises to master your new skills.

In the next course I will explain everything about the Normal Distribution (and explain also other distributions) (Coming soon!)

And afterwards all inferential statistics (hypothesis testing) (coming soon!)

And in my last course (Statistics Explained Easy - SPSS) (Already available), I explain completely to you how SPSS works! (Statistical package which will do all the calculation for you ;) )

Anyway, please look through the course topics (Curriculum) and watch (some of) my preview videos :)

See you inside the course!

Cheers from the Netherlands,


Who is the target audience?
  • All students who have some statistics subjects in their program
  • For example, Psychology or Business Students who have to deal with one or more statistics subjects
  • NOT FOR students doing econometrics or doing a bachelor or master in Statistics
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Curriculum For This Course
30 Lectures
1 Lecture 02:50

How to go through my Descriptive Statistics course. Focus only on the subjects which are returning in your exam. Missing some descriptive techniques, please let me know!

Preview 02:50
Preliminary Math Skills
5 Lectures 30:49

I'm explaining you how the summation sign (Big Greek letter Sigma) is used in Statistics.

summation sign

Exercises Summation Sign

I'm explaining you how the 'Exclamation' sign (!) and the combination work.

! and combinations ( )

Exercise Factorials ! and Combinations ( )
First Statistic skills
5 Lectures 23:36

What is the difference between the Population and Sample and how does this effect notations.

Preview 02:41

Learning the 4 measerement levels, Nominal, Ordinal, Interval and Ratio. (Interval and Ratio are sometimes explained as 1 level together, called Scale)

Measurement Levels

Exercise Measurement Levels

Test if you understand the differences between those scales

To what measurement level belongs
4 questions

The Measurement of Central Tendency, What number is in the 'Middle'?  And what is the middle? Three ways of calculating the middle point.

Mean Median and Mode

Exercise Mean Mode Median
standard deviation
3 Lectures 14:26

Standard deviation is by approximation the average distance to the mean. Degrees of Freedom is mostly calculated by N-1 (N=number of observations). But what does is mean?

Preview 03:44

How to calculate the standard deviation?

Important exercise! Comes back in a lot of statistics Studies

2.2 calculate standard deviation population exercise
7 Lectures 28:01

If one variable changes, does this has an influence on another variable?

What is Correlation

Don't ask me what is Covariance, your teacher will also not ask you ;) But important to know how to calculate it ;)

How to calculate Covariance (Part of correlation formula)

Example Sample Covariance

Example Sample Covariance

Exercise Population Covariance. 

Exercise population Covariance

Formula Correlation

Example Sample Correlation

Exercise Population Correlation
Simple Lineair Regression
7 Lectures 39:29

Formulas for Regression (Slope and intercept/constant)

Regression Example (slope and constant)

Exercise 1 Regression Equation

Exercise 2 Regression Equation

Exercise 4 Regression Equation
Lineair transformations
2 Lectures 10:23
Lineair transformations

lineair transformations exercise
End of the course
0 Lectures 00:00

Let's see what you've learned from this course :)

Test of passing this course
15 questions
About the Instructor
Msc. Antonie van Voorden
4.6 Average rating
98 Reviews
4,002 Students
8 Courses
Education Specialist

Fun, interesting, social.

That's the reason I teach.

While studying my master degree (at Tilburg University), I was already teaching other students. Not only individuals but I was also giving tutorships to small classes.

After my study I went backpacking in Australia and afterwards I started a traineeship at one of the biggest Insurance companies (Achmea). Next to that work I was always teaching just because I love it. In the evening hours I went to the teaching academy to learn more and more about teaching and afterwards I decided to startup my own business specialized in Math and Statistics.

Now after years of experience of trial and error, I experience that the way I explain statistics to my students became super efficient. Now my next step in my carreer is to not explain it to students studying in the Netherlands but to students all over the world. 

What's a better way to that than on Udemy?