Statistics explained easy 1 - Descriptives
3.8 (71 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,655 students enrolled

Statistics explained easy 1 - Descriptives

Topics: Descriptives, Correlation and Simple Regression. Explanations by hand or with the use of a simple calculator.
3.8 (71 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,655 students enrolled
Last updated 7/2017
English
English [Auto-generated]
Current price: $10.00 Original price: $194.99 Discount: 95% off
30-Day Money-Back Guarantee
This course includes
  • 2.5 hours on-demand video
  • 1 article
  • 10 downloadable resources
  • 1 Practice Test
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to Udemy's top 3,000+ courses anytime, anywhere.

Try Udemy for Business
What you'll 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
Requirements
  • maybe some basic math understanding, but more important, if you don't understand something, just ask, and I will put an extra video ;)
Description

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,


Ton


Who this course is for:
  • 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
Course content
Expand all 30 lectures 02:29:25
+ Introduction
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
intro
01:33

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

summation sign
02:51
Exercises Summation Sign
07:10

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

! and combinations ( )
06:31
Exercise Factorials ! and Combinations ( )
12:44
+ 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
04:08
Exercise Measurement Levels
07:52

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
02:15
Exercise Mean Mode Median
06:40
+ 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?
06:29

Important exercise! Comes back in a lot of statistics Studies

2.2 calculate standard deviation population exercise
04:13
+ Correlation
7 lectures 28:01

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

What is Correlation
05:12

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)
02:14

Example Sample Covariance

Example Sample Covariance
03:31

Exercise Population Covariance. 

Exercise population Covariance
04:09
Formula Correlation
02:20
Example Sample Correlation
03:43
Exercise Population Correlation
06:52
+ Simple Lineair Regression
7 lectures 39:29
Formulas for Regression (Slope and intercept/constant)
03:48
Regression Example (slope and constant)
02:26
Exercise 1 Regression Equation
04:06
Exercise 2 Regression Equation
03:14
Exercise 4 Regression Equation
10:39
+ Lineair transformations
2 lectures 10:23
Lineair transformations
06:07
lineair transformations exercise
04:16
+ 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