Statistics Explained Easy 3 - Hypothesis testing and CI's

About this course

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 :)

Course objectives

• to simplify complex statistical concepts
• to provide practical exercises for reinforcement
• to prepare students for real-world application of statistical analysis