Statistics explained easy 2 - Normal Distribution and more
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Statistics explained easy 2 - Normal Distribution and more

Normal and other distributions explained - calculations by hand
4.2 (7 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.
674 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:
  • 5 hours on-demand video
  • 1 Article
  • 5 Supplemental Resources
  • 1 Practice Test
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Pass their exam about normal distributions.
  • Can calculate probabilities that something is going to happen... Like probability of temperature warm enough to be outside.
View Curriculum
Requirements
  • Understanding some basic descriptive statistics. Check my descriptive course.
Description

Welcome to the normal Distribution course in Statistics

After finishing this course you will master the next subjects:

  • Normal Distribution 
  • Binomial Distribution
  • Hypergeometric Distribution
  • Poisson Distribution
  • Uniform Distribution
  • How to calculate probababilities with Tables
  • It addresses questions like: You will be 80% that the temperature will be at least above ... 


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 ;)  I want to make more and more video’s and it doesn’t matter for me in which order ;)

 

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

Who is the target audience?
  • Students who have to learn about the normal distribution
  • more specific, who have to do calculations by hand or with an easy calculator
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Curriculum For This Course
55 Lectures
04:51:32
+
Introduction
2 Lectures 03:21

A little note before we start
01:53
+
What is a statistical Distribution? (PDF/CDF Discrete/Continuous)
2 Lectures 09:28
+
Uniform Distribution
3 Lectures 16:10

Example Uniform Distribution
04:18

Exercise Uniform Distribution
05:47
+
Z Distribution (Standardized Normal Distribution)
4 Lectures 19:47
Standardized Normal Distribution
03:38

Exercise Standardized Normal Distribution
02:29

Using Tables to Transform Z values into probabilities
05:27

Using Tables to Transform Z values into probabilities part 2
08:13
+
Examples and Exercises
3 Lectures 06:52
Example Z Values P(...<Z<...)=
02:33

Example Z values P(Z>...)=0.8 (80% sure that Z falls above a certain number)
01:57

Exercises Z-Values
02:22
+
Real Normal Distribution. Transform X values into Z values
6 Lectures 20:06
Transform X value into Z value
03:22

Transform X value into Z value Formula
04:02

Example P(...<X<...)
05:23

Exercise P(...<X<...)
00:53

Example P(X<...)=0.05 (5% worst case scenario temperature)
05:02

Exercise P(X<...)=0.05
01:24
+
Why is normal distribution so important? CLT and Exercises
8 Lectures 01:00:39
CLT (Central Limit Theorem) Distribution of average of X (Xbar)
05:25

Example P(Xbar>25)
10:15

Answer 9.3.1ab
07:00

Answer 9.3.1. cd
09:26

Answer 9.3.1 ef
09:13

How to translate story questions and answer to 9.3.2a
04:12

Answer 9.3.2 bc
07:22

Answer 9.3.2 de
07:46
+
Math skills for understanding Binomial Hypergeometric and Poisson Distribution
2 Lectures 19:15
Factorials and combinations
06:31

Exercises factorials and combinations
12:44
+
Binomial Distribution
9 Lectures 51:36


Sum and complement rule
06:45

Answer 10.4.1abc
04:30

Answer 10.4.1de
04:31

Answer 10.4.2
04:17

Answer 10.4.3 ab
05:01

Anwer 10.4.3 cd
05:08

How to answer a story question. Example
11:35
+
Normal Approximation of the Binomial Distribution
10 Lectures 45:39
Normal Approximation Introduction
04:02

Continuity Correction
08:24

Average & SD of the binomial distribution
02:38

Putting it all together and calculating the answer
03:48

When is Normal Approximation Allowed
02:36

Answer 10.5.6. 1
03:17

Answer 10.5.6. 2a
07:08

Answer 10.5.6. 2b
04:10

Answer 10.5.6. 3a
03:51

Answer 10.5.6. 3b
05:45
4 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?