Statistics Explained Easy 3 - Hypothesis Testing And Ci'S

What you'll learn
Hypothesis testing
know when something is scientifically proven and what it means
create Confidence Intervals (to be 95% sure that something falls in between two boundaries)
Requirements
Know what is a normal distribution (check my course about the normal distribution)
Description
Welcome to my course in Statistics!
After finishing this course you will master the next subjects
Full range of Hypothesis testing.Explanation of Alpha and p-valueComparing average1 sample (Z-test and t-test)2 sample (t-test)Comparing standard deviations1 sample (Chi-Square test)2 sample (F-test)Confidence Intervals for the above testsHeaps of exercises (some still to come, please motivate me by requesting exercises for some topics
Still to come: Power calculations by hand. Which comes in really handy. Power is the probability that you will find a significant result (before gathering your data).
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
Last but not least, Wish you guys good luck and fun while going through my course
See you inside
Overview
Section 1: Introduction in hypothesis testing
Lecture 1 Introduction
Lecture 2 A little note before we start
Section 2: Z-distribution (sigma population is known)
Lecture 3 Hypothesis testing Z-Distribution
Lecture 4 Hypothesis testing Z-Distribution two sided
Lecture 5 P-Value within Hypothesis Testing (What is P-value)
Lecture 6 Question 11.5.1a Explanation
Lecture 7 Question 11.5.1bc Explanation
Lecture 8 Question 11.5.1d Explanation
Lecture 9 Question 11.5.2a.1 Hypothesis testing Explanation
Lecture 10 Confidence Interval Z-Distribution
Lecture 11 Question 11.5.2a.2 P-value Explanation
Lecture 12 Question 11.5.2a.3 Confidence Interval Explanation
Lecture 13 Question 11.5.2b Explanation
Lecture 14 Question 11.5.2c Explanation
Lecture 15 Question 11.5.2de Explanation
Lecture 16 Question 11.5.3ab Explanation
Lecture 17 Question 11.5.3c Explanation
Section 3: One Sample T-test (Comparing a Mean to a number)
Lecture 18 One sample t-test
Lecture 19 Confidence Interval T-Distribution
Lecture 20 Question 11.9.3.1a Explanation
Lecture 21 Question 11.9.3.1bc Explanation
Lecture 22 Question 11.9.3.2a Explanation
Lecture 23 Question 11.9.3.2bc Explanation
Lecture 24 Question 11.9.3.3 Explanation
Section 4: Chi-Square Test. testing the standard deviation
Lecture 25 Standard Deviation Test, Chi Square
Lecture 26 Confidence Interval for the Standard Deviation
Section 5: F-Test Comparing two standard deviations
Lecture 27 F-Test Comparing two standard deviations
Lecture 28 F-Tables
Section 6: Final Test
students who want to pass their Statistics Exams


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