The Simplest & Easiest Course on Hypothesis Testing
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The Simplest & Easiest Course on Hypothesis Testing

Easiest Beginners Course on Statistics for Newbies! Perfect for university and college levels!
4.7 (115 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.
1,106 students enrolled
Created by Dr David Tan
Last updated 1/2017
English
Price: $20
30-Day Money-Back Guarantee
Includes:
  • 4 hours on-demand video
  • 11 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • A complete and thorough understanding of the concepts of Hypothesis Testing, such as null and alternate hypotheses, standard errors, Type 1 and 2 errors, etc.
  • The ability to easily answer Hypothesis Testing exam-style questions for a single population mean
  • The ability to apply your understanding of inference testing to everyday problems
  • A dramatic improvement in academic performance for your Statistics course!
View Curriculum
Requirements
  • No prior knowledge of statistics is needed
  • No software is required
  • That's it! This course is completely self-contained!
Description

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

Who is the target audience?
  • Suitable for students struggling with an Introductory Statistics course at the tertiary level (such as in college or university)
  • Suitable for students who are complete beginners in Statistics and want to learn from an intuitive and common sense approach
  • Suitable for students who are not quantitatively inclined
  • Anyone who needs motivation to learn Statistics
Compare to Other Statistics Courses
Curriculum For This Course
57 Lectures
04:13:03
+
Fundamentals of Hypothesis Testing
29 Lectures 01:56:42

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! :)

Preview 00:45

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:

  • Why Hypothesis Testing is required in practice
  • How to refute a claim
  • The intuition for rejection regions
  • The intuition for significance levels
  • The concept of Type 1 errors
Preview 08:57

Super simple and clear explanation of the differences between the population and a sample. Never get confused again!

In this lecture, you will learn:

  • The distinction between the population and a sample
  • The need for random sampling in Statistics
Population vs Sample
03:42

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:

  • A fool-proof method (and simple rule) to setting up the null and alternate hypotheses
  • How to formally write down the hypotheses in statistics
Setting Up the Null and Alternate Hypotheses Correctly
05:40

Just a quick quiz to re-cap some of the concepts covered so far.

Short Quiz
4 questions

A discussion on the burden of proof in Hypothesis Testing.

In this lecture, you will learn:

  • Why the null hypothesis is assumed true until proven otherwise
The Burden of Proof in Hypothesis Testing
00:39

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:

  • All 3 types of Hypothesis Tests
  • How they differ from each other
  • How to identify each test in an exam setting
Lower-Tailed, Upper-Tailed, and 2-Tailed Tests
01:40

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:

  • The Normal distribution
  • The setting up of the rejection regions in different types of Hypothesis Tests
  • A simple rule to always correctly set up the rejection regions of your test
The Rejection Region
09:08

Let Judge Judy teach us about Type 1 errors and significance levels.

In this lecture, you will learn:

  • Type 1 errors and why they are present in Hypothesis Testing
  • Significance levels and how they are determined
Type 1 Errors and Judge Judy
05:40

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:

  • The definition of a Type 2 error
  • Jump to the bonus lecture at the end of this course to learn how to calculate the probability of a Type 1 error!
Type 2 Errors
01:04

Just a quick quiz to re-cap some of the concepts covered so far.

Short Quiz
4 questions

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:

  • How to conduct a lower-tailed Hypothesis Test
  • How to work through the steps in the Hypothesis Testing framework
Worked Example 1: A Lower-Tailed Test - Your Dodgy Friend
05:10

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:

  • Why standard normal distribution tables are needed in practice
  • The characteristics of the standard normal distribution
  • Cumulative probabilities of the standard nromal distribution
The Standard Normal Distribution (aka Z-Distribution)
03:08

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 the Z-Table to calculate probabilities and z critical values
  • Simple rules that makes the Z-Table versatile and easy to use
Using the Cumulative Standard Normal Probability Table
04:30

How to use another form of the Z-Table you may encounter.

In this lecture, you will learn:

  • How to use alternative Z-Tables using the simple rules of the previous lecture
What if You Have a Different Standard Normal Probability Table?
01:44

In this lecture, you will learn:

  • How to use the Z-Table to find the z-critical value
Finding the Z-Critical Value using the Z-Table
04:29

Super easy explanation of standard errors and why they're so important in Hypothesis Testing.

In this lecture, you will learn:

  • The concepts of testing mean values
  • The definition of standard errors
  • The nature of random sampling and why standard errors are needed


Preview 04:13

Calculating the critical value of the test!

In this lecture, you will learn:

  • How to calculate the critical value of a Hypothesis Test
  • How to interpret the critical value
  • Why a critical value is needed in Hypothesis Testing
Calculating the Critical Value
01:10

How to correctly conclude the test. The language here is very important, so be careful!

In this lecture, you will learn:

  • The easiest method of concluding a Hypothesis Test
  • The correct language to use when concluding the test
Concluding the Test
00:54

A complete summary of the steps for conducting a Hypothesis Test for a population mean.

In this lecture, you will learn:

  • A useful summary of steps to complete the Hypothesis Testing process
  • Tie together the application of the concepts covered in this section
Summary of the Steps to Answering a Hypothesis Testing Question
01:17

Just a quick quiz to re-cap some of the concepts covered so far.
Short Quiz
4 questions

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:

  • How to complete an upper-tailed Hypothesis Test using the process outlined in Lecture 18
Worked Example 2: An Upper-Tailed Test - Houses are Expensive!
08:00

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:

  • How to complete a two-tailed Hypothesis Test using the process outlined in Lecture 18
Worked Example 3: A 2-Tailed Test - Youtube and Young People
06:47

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.

Summary of this Section
02:24

A Quick Note About Practice Questions
00:24

Practice Questions for Section 1
1 page

Section 1: Worked Solutions to Practice Question 1
03:15

Section 1: Worked Solutions to Practice Question 2
07:46

Section 1: Worked Solutions to Practice Question 3
03:52

Section 1: Worked Solutions to Practice Question 4
07:05

Section 1: Worked Solutions for Practice Question 5
06:27

Section 1: Worked Solutions for Practice Question 6
06:52
+
Additional Concepts of Hypothesis Testing
19 Lectures 01:10:26

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!

Introduction to this Section
00:30

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:

  • That there are 3 methods of answering a Hypothesis Testing question
  • All 3 methods provide you with the same conclusion
Preview 01:09

A quick review of the Critical Value method as taught in Section 1.

In this lecture, you will cover:

  • A quick refresher of the Critical Value Method which was taught in Section 1
Review of the Critical Value Method (covered in the previous Section)
01:59

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:

  • The Z-Score Method of completing a Hypothesis Testing question
  • The difference between the Z-Score and Critical Value methods
  • A summary of steps for the Z-Score method
The Z-Score Method
09:16

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:

  • What the p-value is
  • The interpretation of the p-value
  • How to use the p-value to easily answer Hypothesis Testing questions
Introduction to the P-Value
03:23

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:

  • How to calculate the p-value for solving a Hypothesis Test
  • A useful summary of steps to complete the Hypothesis Test using the P-Value method.
The P-Value Method
06:21

This is a quick quiz to re-cap some of the concepts covered so far.

Short Quiz
3 questions

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:

  • How to complete a Hypothesis Test when the population standard deviation is unknown
Dealing with Sample Standard Deviations
01:56

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:

  • About the Student T Distribution
  • How it differs from the Z-Distribution
Introduction to the Student T Distribution
01:36

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:

  • How to complete a Hypothesis Testing question using the sample standard deviation
  • How to apply the Student T Distribution in a Hypothesis Test
  • A useful summary of steps that clarifies the process of using a sample standard deviation in a Hypothesis Test
Worked Example Using Sample Standard Deviation
07:29

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:

  • How to apply the P-Value method to a two-tailed Hypothesis Test using a simple rule
P-Values for a 2-Tailed Test
05:24

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:

  • The general properties of the Central Limit Theorem (CLT)
  • How the CLT affects Hypothesis Tests
The Central Limit Theorem
05:05

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:

  • How to complete a Hypothesis Test for proportions
  • How it differs from a Hypothesis Test using a continuous variable (as in all previous lectures)
  • A summary of steps to completing a Hypothesis Test with proportions question
Hypothesis Testing with Proportions
05:54

A quick quiz to re-cap some of the concepts covered so far.

Short Quiz
3 questions

Summary of this Section and some important reminders of the concepts covered. Congrats! You've now finished the guts of this Course :)

Summary and Some Important Reminders
02:30

Practice Questions for Section 2
1 page

Section 2: Worked Solutions for Practice Question 1
04:12

Section 2: Worked Solutions for Practice Question 2
01:57

Section 2: Worked Solutions for Practice Question 3
04:23

Section 2: Worked Solutions for Practice Question 4
03:48

Section 2: Worked Solutions for Practice Question 5
03:34
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Practice Exam-Style Questions and Worked Solutions
9 Lectures 01:01:55
Introduction to this Section
01:02

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!

Exam-Style Questions
2 pages

Worked Solutions to Exam-Style Question 1
07:36


Worked Solutions to Exam-Style Question 3
06:19

Worked Solutions to Exam-Style Question 4
09:18

Worked Solutions to Exam-Style Question 5
06:47

Worked Solutions to Exam-Style Question 6
08:16

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:

  • How to calculate the probability of a Type 2 error and apply it to an exam-style question
  • The difference between the distribution of the test and the true distribution of sample means
BONUS: Answering a Type 2 Error Question
15:11
About the Instructor
Dr David Tan
4.6 Average rating
168 Reviews
2,453 Students
3 Courses
University Lecturer & Youtube Statistics Teacher

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.