Please confirm that you want to add The Simplest & Easiest Course on Hypothesis Testing to your Wishlist.
Want to master the Basics of Hypothesis Testing? This course is carefully designed for students who are struggling with Statistics, for those who are not quantitatively inclined, and complete beginners (newbies!) in Statistics.
After completing this course, you will have a complete understanding of Hypothesis Testing for population means and will be able to easily answer exam-style questions. I teach using intuitive step-by-step explanations and assume students have absolutely no background in Statistics.
In this course, I provide exam-style questions you would expect at the college and university level so you can immediately apply the concepts you've been taught. I then provide a video lecture of me working through the questions step-by-step so you can fully understand how to approach and complete them on your own. Practice exam-style questions are the key to acing your exams!
No prior knowledge in Statistics is required. We start from scratch! Let me know you how bowling with your friend, Sam, teaches us the principles of Hypothesis Testing! It's so easy!
Check out the preview videos and see if you like my style, and Enrol now and ace your Stats course! I guarantee you will have a complete and thorough understand of Hypothesis Testing after taking my course! You'll be teaching your friends in no time! :)
If, for whatever reason, you are not satisfied with my course, no worries! You will get a 100% refund - no questions asked!
So what are you waiting for? Enrol now and learn Statistics the fun (and easiest) way!
Check out my Youtube channel: Quant Concepts
**
Keywords: Statistics, statistics workshop, probability, university, education, college, high school, statistics tutorial, statistics tutor, hypothesis testing, hypothesis test, regressions, regression analysis, mathematics
Welcome to my complete course: the Introduction to Hypothesis Testing. This course is aimed for complete beginners or those struggling with introductory statistics.
I teach by breaking down complex concepts into little bite sized pieces and telling funny stories that stick! Good luck! :)
Check out this simple and intuitive example of Hypothesis Testing: Taking your mum bowling for her birthday. This lecture will ensure you clearly understand why we conduct this tests and that they are used commonly in everyday life, like seeing whether your best friend is lying to you!
This lecture shows how you already intuitively understand the basics of Hypothesis Testing, and that the remainder of this course is for you to learn these concepts formally and understand the statistical jargon. After this lecture, the hard part is already done :)
In this lecture, you will learn:
Super simple and clear explanation of the differences between the population and a sample. Never get confused again!
In this lecture, you will learn:
How to correctly set up your null and alternate hypothesis. Use this one simple rule and never this this step wrong!
In this lecture, you will learn:
Just a quick quiz to re-cap some of the concepts covered so far.
A discussion on the burden of proof in Hypothesis Testing.
In this lecture, you will learn:
The 3 types of Hypothesis Tests you will encounter: Upper-, Lower-, and Two-Tailed Tests. Its very easy to identify them!
In this lecture, you will learn:
How to correctly set up the rejection region of your test. This is a simple yet crucial concept in Hypothesis Testing!
In this lecture, you will learn:
Let Judge Judy teach us about Type 1 errors and significance levels.
In this lecture, you will learn:
Calculating Type 2 errors are often excluded from Introductory Statistics courses, so be sure to check your course outline.
In this lecture, you will learn:
Just a quick quiz to re-cap some of the concepts covered so far.
Beginning our first worked example: a Lower-tailed Hypothesis Test. Let's go through this step-by-step in little chunks...
In this lecture, you will learn:
Introduction to the standard normal distribution (z-distribution) and why it is used in Statistics, and the concept of culmulative probabilities.
In this lecture, you will learn:
Learn how to use the Cumulative Standard Normal Probability Table, otherwise known as the Z-Table. It's easy to use, and it the most common table provided in Statistics textbooks. I'll also cover the 2 most important rules to using the Z-Table!
In this lecture, you will learn:
How to use another form of the Z-Table you may encounter.
In this lecture, you will learn:
In this lecture, you will learn:
Super easy explanation of standard errors and why they're so important in Hypothesis Testing.
In this lecture, you will learn:
Calculating the critical value of the test!
In this lecture, you will learn:
How to correctly conclude the test. The language here is very important, so be careful!
In this lecture, you will learn:
A complete summary of the steps for conducting a Hypothesis Test for a population mean.
In this lecture, you will learn:
A complete worked example of an Upper-Tailed Test. Are house prices too high? How would a Hypothesis Test be conducted in this scenario?
In this lecture, you will learn:
A complete worked example of a Two-Tailed Test. How old is the average age of Youtube viewers? Can we test this using Hypothesis Testing? Well, yes...yes we can...
In this lecture, you will learn:
A summary of this section and what is to come in the next section. Congrats! You can now answer a Hypothesis Testing question, though there is more material to cover.
Welcome to Section 2 of the course! Its time to learn a few more concepts to polish up your knowledge. But not to worry, its only a minor extension of what you already know!
A quick overview of the 3 methods to answering a Hypothesis Testing question for one population mean. We've already covered the Critical Value method in Section 1 of this course. Only 2 more to go!
In this lecture, you will learn:
A quick review of the Critical Value method as taught in Section 1.
In this lecture, you will cover:
This is a complete lecture on the Z-Score method. I teach this method in a step-by-step manner and slowly work through an example from Section 1.
In this lecture, you will learn:
Introduction to the P-Value, and an overview of how it is used in Hypothesis Testing. This is one of the most important concepts in Statistics. Don't worry, I've broken it down into little bite sized digestible pieces :)
In this lecture, you will learn:
A detailed step-by-step worked example to demonstrate how to implement the P-Value method of Hypothesis Testing.
In this lecture, you will learn:
This is a quick quiz to re-cap some of the concepts covered so far.
In reality, we cannot observe the population standard deviation. If this is the case, then how do we proceed? This short lecture will tell us how. Its easy!
In this lecture, you will learn:
A quick introduction to the Student T Distribution. This is used in place of the Standard Normal Distribution when you only have the sample standard deviation to work with.
In this lecture, you will learn:
A complete step-by-step solution for a Hypothesis Testing question when only the sample standard deviation is available, hence, students must use the Student T distribution.
In this lecture, you will learn:
There's an extra step for calculating the p-value for a 2-tailed test, and since students find the p-value method the most difficult, here is another complete worked example!
In this lecture, you will learn:
An introduction to the Central Limit Theorem and how it relates to Hypothesis Testing. Sometimes it can be impossible to answer a Hypothesis Testing question...
In this lecture, you will learn:
This lecture covers how we conduct a Hypothesis Test on proportions. For example, more than half of Udemy students are females. How can we test this claim?
This is a minor extension of what we've covered so far, and is a piece of cake!
In this lecture, you will learn:
A quick quiz to re-cap some of the concepts covered so far.
Summary of this Section and some important reminders of the concepts covered. Congrats! You've now finished the guts of this Course :)
It is suggested that you attempt the questions without referring to the solutions initially. If you get stuck, then refer to the solutions and complete the question. The next day, attempt the question again without referring to the solutions.
Use the answers in this Lecture to check your work. GOOD LUCK!
This is a step-by-step worked example on how to answer a Hypothesis Testing question on the Type 2 error of a test. This procedure is sometimes omitted from Introductory Statistics courses, so be sure to check your course outline to see if it is included.
In this lecture, you will learn:
Hi everyone! My name is David, and I'm a Udemy instructor for Statistics and Econometrics. I hold a PhD in Finance from the University of New South Wales, Australia, and am currently a Lecturer in Aviation Finance. I absolutely love teaching! I like to break down complex concepts into little bite-sized pieces using simple and often silly stories for my students. The look on their faces from clueless to "ah ha!" is priceless, and means a lot to me.
In particular, I love teaching Statistics and I currently have a Youtube channel ("Dave Your Tutor") devoted to teaching statistics to newbies and those struggling with the subject. My channel has over 320,000 views and 1,600 subscribers, and is growing rapidly! I also run a Facebook page "freestatshelp" where I assist students with statistics from around the world for free. Come and check it out!
Yup, I'm a nerd.
Apart from teaching, I'm also an active researcher at the university and research in all sorts of stuff. I'm particularly passionate about my following research projects:
* Using microeconomics to improve the way funds are raised for charitable causes,
* Using agent-based modelling to observe how information goes viral on social media, and
* How exposure to technology and the Internet affects children's ability to concentrate.
Once a year, I go to a village in Phang Nga, Thailand, to volunteer and teach English at a disadvantaged (poorly funded) primary school for Burmese students. I would have to say one of the best times of my life is when I was staying in a small village in Thailand (Thai Mueang), teaching English to the Burmese kids, riding my scooter, working out of ym lap top, and just living a simple life.
Beauty lies in simplicity.