Statistics Explained Easy 3 – Hypothesis Testing And Ci’S

Hypothesis stesting and Confidence Intervals

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