The Simplest & Easiest Course On Hypothesis Testing

Last updated 1/2017
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.87 GB | Duration: 4h 13m
Easiest Beginners Course on Statistics for Newbies! Perfect for university and college levels!

What you’ll 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!
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
Overview
Section 1: Fundamentals of Hypothesis Testing
Lecture 1 Introduction
Lecture 2 Introduction to Hypothesis Testing: Going bowling with your Mum…
Lecture 3 Population vs Sample
Lecture 4 Setting Up the Null and Alternate Hypotheses Correctly
Lecture 5 The Burden of Proof in Hypothesis Testing
Lecture 6 Lower-Tailed, Upper-Tailed, and 2-Tailed Tests
Lecture 7 The Rejection Region
Lecture 8 Type 1 Errors and Judge Judy
Lecture 9 Type 2 Errors
Lecture 10 Worked Example 1: A Lower-Tailed Test – Your Dodgy Friend
Lecture 11 The Standard Normal Distribution (aka Z-Distribution)
Lecture 12 Using the Cumulative Standard Normal Probability Table
Lecture 13 What if You Have a Different Standard Normal Probability Table?
Lecture 14 Finding the Z-Critical Value using the Z-Table
Lecture 15 Standard Errors
Lecture 16 Calculating the Critical Value
Lecture 17 Concluding the Test
Lecture 18 Summary of the Steps to Answering a Hypothesis Testing Question
Lecture 19 Worked Example 2: An Upper-Tailed Test – Houses are Expensive!
Lecture 20 Worked Example 3: A 2-Tailed Test – Youtube and Young People
Lecture 21 Summary of this Section
Lecture 22 A Quick Note About Practice Questions
Lecture 23 Practice Questions for Section 1
Lecture 24 Section 1: Worked Solutions to Practice Question 1
Lecture 25 Section 1: Worked Solutions to Practice Question 2
Lecture 26 Section 1: Worked Solutions to Practice Question 3
Lecture 27 Section 1: Worked Solutions to Practice Question 4
Lecture 28 Section 1: Worked Solutions for Practice Question 5
Lecture 29 Section 1: Worked Solutions for Practice Question 6
Section 2: Additional Concepts of Hypothesis Testing
Lecture 30 Introduction to this Section
Lecture 31 Overview of the 3 Methods to Answering a Hypothesis Testing Question
Lecture 32 Review of the Critical Value Method (covered in the previous Section)
Lecture 33 The Z-Score Method
Lecture 34 Introduction to the P-Value
Lecture 35 The P-Value Method
Lecture 36 Dealing with Sample Standard Deviations
Lecture 37 Introduction to the Student T Distribution
Lecture 38 Worked Example Using Sample Standard Deviation
Lecture 39 P-Values for a 2-Tailed Test
Lecture 40 The Central Limit Theorem
Lecture 41 Hypothesis Testing with Proportions
Lecture 42 Summary and Some Important Reminders
Lecture 43 Practice Questions for Section 2
Lecture 44 Section 2: Worked Solutions for Practice Question 1
Lecture 45 Section 2: Worked Solutions for Practice Question 2
Lecture 46 Section 2: Worked Solutions for Practice Question 3
Lecture 47 Section 2: Worked Solutions for Practice Question 4
Lecture 48 Section 2: Worked Solutions for Practice Question 5
Section 3: Practice Exam-Style Questions and Worked Solutions
Lecture 49 Introduction to this Section
Lecture 50 Exam-Style Questions
Lecture 51 Worked Solutions to Exam-Style Question 1
Lecture 52 Worked Solutions to Exam-Style Question 2
Lecture 53 Worked Solutions to Exam-Style Question 3
Lecture 54 Worked Solutions to Exam-Style Question 4
Lecture 55 Worked Solutions to Exam-Style Question 5
Lecture 56 Worked Solutions to Exam-Style Question 6
Lecture 57 BONUS: Answering a Type 2 Error Question
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

Homepage

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