Statistics explained easy 4 - SPSS
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Statistics explained easy 4 - SPSS

An A-Z guide about statistics and how to calculate them. Examples and Exercises. SPSS. Excel.
4.3 (11 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.
373 students enrolled
Last updated 7/2017
English
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Current price: $10 Original price: $30 Discount: 67% off
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Includes:
  • 8.5 hours on-demand video
  • 1 Article
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • use the most imporant SPSS functions
  • perform scientific research
  • know what is means when something is scientifically proven
View Curriculum
Requirements
  • basic understanding of hypothesis testing (but I add some video's in the course as bonus material to explain that to you ;) )
  • understanding basic descriptives of statistics (see my other course about descriptives)
Description

Welcome to my course in Statistics! 

After finishing this course you will master the next subjects:

* Understanding completely how SPSS works

* Performing descriptive statistics with SPSS

* Performing a full range of  hypothesis tests within SPSS (if some tests are not yet included and you need to do them, just ask me, I will add them for you, but I guess all the ones you need are included)

* How to interpret your results easy style (so everyone can understand it easily)

* How to interpret your results APA style. (which is necessary to document your finding, for example for a bachelor or master thesis.


-----------------------------

* Bonus: Some videos about descriptive statistics, distribution and hypothesis testing by hand. But after two months I will delete those. Better versions and much more exercises from those topics are available in my other courses tailored to those subjects. 


Terminology will be as easy as possible. I'm a teacher and my maingoal is to make statistics easy :).

Exercises are included (they are in the videos, in the beginning you see the exercises, then you have to stop the video, make them, and then see the answers with explanation). 

Please if you want to have specific questions ask them to me! I will be more motivated to make videos answering your questions than just randomly ;) Also if you already want some SPSS explanation… I want to make all my video’s and it doesn’t matter for me in which order ;). This also counts for exercises you want to be added to this course ;)

 

Last but not least, Wish you guys good luck and fun while going through my course :)



Who is the target audience?
  • This SPSS course is meant for students who want to pass their exam
  • This SPSS course is meant for professionals who want to improve their job skills with statistical knowledge
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Curriculum For This Course
88 Lectures
08:35:46
+
Introduction
2 Lectures 03:41

A little note to start with
01:32
+
preliminary math skills
2 Lectures 05:52
Summation Sign
02:51

! and Combinations
03:01
+
First Statistics Skills
3 Lectures 09:04
Population vs Sample
02:41

Measurement Levels
04:08

Mean Median Mode
02:15
+
Standard Deviation
3 Lectures 14:41
What is the Standard Deviation
03:59

Calculate Standard deviation Sample
06:29

Calculate standard deviation population and exercise
04:13
+
Correlation
8 Lectures 32:47
Correlation (What is...)
05:12

Formula covariance
02:14

Example Sample Covariance
03:31

exercise population covariance
04:09

Formula correlation
02:20

Example Sample Correlation
03:43

Exercise Population Correlation
06:52

SPSS Correlation
04:46
+
Regression
3 Lectures 10:05
What is Regression
03:51

Formulas Regression
03:48

Regression example (Slope and Constant)
02:26
+
Lineair Transformation
2 Lectures 10:23
Lineair Transformation
06:07

Lineair Transformation Exercise
04:16
+
Probability Distribution Function
2 Lectures 09:28

A little exercise you have to do yourself. At the end I show you how to draw the graph of a Cumulative Distribution Function (CDF).

Exercise PDF and explanation CDF in graph
03:46

What is a discrete PDF
05:42
+
Uniform Distribution
3 Lectures 16:10

What is an Uniform Distribution? How does it work?


Nice to get a basic understanding about how distribution functions work. Has a nice bridge to the normal distribution function which is commonly used and next ;).

The Uniform Distribution explained
06:05

Basic Calculations how they can be in your exam.

Uniform Distribution Example
04:18

Now do it yourself! Test if you can do it ;)

Exercise with the Uniform Distribution
05:47
+
Normal Distribution
13 Lectures 46:45

The Normal Distribution is the most common distribution. But it is quiet difficult distribution to understand at once. I will teach you first the 'Standardized' Normal Distribution. A special kind of normal distribution with average 0 and standard deviation 1. After mastering the Standardized Normal Distribution, it will be much easier to understand the Normally used  'Normal Distribution'.Which I will teach to you afterwards ofcourse :)

standardized normal distribution (Z Distribution)
03:38

A little exercise for you :)

Exercise with the Standardized normal distribution
02:29

First, If you are doing this course for yourself, or for more understanding of statistics, please skip the tables part, and skip forward to the part where I explain how to find those same values with Excel. Much easier :) :)


But.....

In almost all university studies, students have to use Z tables to calculate probabilities. So in that case, 'Watch' on!

Unfortunately there are three different kind of tables used. In some studies you can use all three, but in other ones just one or two. 

I will explain how the three different tables work and how you can easily transform the values from one table into the other table.


Using Tables to calculate Z probabilities
05:27

Using Tables part 2
08:13

Solve problems like P(-2<Z<1)

Example Calculate prob by Z values
02:33

Example Caluclate Z value when a probability is given P(Z>...)=0.8
01:57

Exercises like the last two examples
02:22

In this lecture I 'finally' describe to you the Normal Distribution. 

The Normal Distribution :)
03:22

how to transform values into Z values? So you can find the probabilities in the Z tables?


Normal Distribution, Z formula
04:02

What is the possibility that the temperature tomorrow will fall in between 6 and 9 degrees?

Example x falls in between ... X is bigger than ...
05:23

Some questions to make. Pause the video after seeing the questions. The Questions will appear one by one on the screen, so you can check the answers directly without seeing the result of the upcoming questions.

Exercise
00:53

Example P(X>...)=0.8
05:02

Exercise P(X>...)=0.8 (not so common in exams)
01:24
9 More Sections
About the Instructor
Msc. Antonie van Voorden
4.5 Average rating
91 Reviews
3,551 Students
7 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?