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Statistics explained easy 4 - SPSS

Name: Statistics explained easy 4 - SPSS
Rating: 3.9 (21 reviews)

An A-Z guide about statistics and how to calculate them. Examples and Exercises. SPSS. Excel.

Created byAntonie van Voorden

Last updated 7/2017

English

What you'll learn

use the most imporant SPSS functions
perform scientific research
know what is means when something is scientifically proven

Course content

19 sections • 88 lectures • 8h 35m total length

Introduction2:09
Meet your statistics teacher who tailors explanations to students, highlights common topics across universities, and invites feedback to tailor SPSS content and documents.
A little note to start with1:23

What is the Standard Deviation3:59
Explain degrees of freedom and the concept of standard deviation using examples, showing how sigma and sample sigma measure average distance from the mean in data sets.
Calculate Standard deviation Sample6:29
Calculate the sample and population standard deviation using variance and squared deviations, then take the square root. Learn how n−1 and x-bar affect the computation.
Calculate standard deviation population and exercise4:13
Practice calculating the standard deviation of a population dataset using the formula, compute the mean, and determine the variance before taking the square root to obtain the standard deviation.

Correlation (What is...)5:12
explores correlation by using ice cream sales and temperature to illustrate positive and negative correlations, as well as no correlation, with notes on correlation coefficients from -1 to 1.
Formula covariance2:14
Example Sample Covariance3:31
exercise population covariance4:09
Compute the population covariance by adapting the sample formula, using means of X and Y and sigma notation, and omit the minus one adjustment.
Formula correlation2:20
Learn to calculate correlation using population and sample formulas, including covariance and the role of standard deviations for X and Y.
Example Sample Correlation3:43
Exercise Population Correlation6:52
SPSS Correlation4:46

The Uniform Distribution explained6:05
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 ;).
Uniform Distribution Example4:18
Basic Calculations how they can be in your exam.
Exercise with the Uniform Distribution5:47
Now do it yourself! Test if you can do it ;)

standardized normal distribution (Z Distribution)3:38
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 :)
Exercise with the Standardized normal distribution2:29
A little exercise for you :)
Using Tables to calculate Z probabilities5:27
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 part 28:13
Learn to use and transform SPSS probability tables, switch between body and tail areas, and compute probabilities by flipping and summing areas.
Example Calculate prob by Z values2:33
Solve problems like P(-2<Z<1)
Example Caluclate Z value when a probability is given P(Z>...)=0.81:57
Shows how to compute z values for P(Z>z)=0.8 using the normal distribution table, by using tail area 0.2 to locate z ≈ 0.84.
Exercises like the last two examples2:22
The Normal Distribution :)3:22
In this lecture I 'finally' describe to you the Normal Distribution.
Normal Distribution, Z formula4:02
how to transform values into Z values? So you can find the probabilities in the Z tables?
Example x falls in between ... X is bigger than ...5:23
What is the possibility that the temperature tomorrow will fall in between 6 and 9 degrees?
Exercise0:53
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.
Example P(X>...)=0.85:02
Exercise P(X>...)=0.8 (not so common in exams)1:24

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 this course is for:

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

Statistics explained easy 4 - SPSS

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 4min

preliminary math skills2 lectures • 6min

First Statistics Skills3 lectures • 9min

Standard Deviation3 lectures • 15min

Correlation8 lectures • 33min

Regression3 lectures • 10min

Lineair Transformation2 lectures • 10min

Probability Distribution Function2 lectures • 9min

Uniform Distribution3 lectures • 16min

Normal Distribution13 lectures • 47min

Requirements

Description

Who this course is for: