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The course covers the theory and application of testing statistical hypotheses. The material of the course is college level introductory statistics course for students majoring in various fields.
Testing statistical hypotheses is a result of teaching introductory statistics courses for over ten years at the college level. The course is written in an easy to understand way and draw upon several fully solved and explained problems to make it handson and practical. Each concept is immediately followed with illustrated examples and solved exercise so that you will learn by doing.
Content and Overview
This course of 17 lectures and 1.5 hours of content is suitable for a college student or anyone interested in understanding statistical tests of hypotheses in a handson way, at their own comfortable pace. It's very rich with examples and solved problems and do not pretend that you will understand things by just reading definitions and concepts.
My approach is handson: Concepts, examples and solved problems addressing all the concepts covered in the lectures. In addition, we have quizzes and the forum for questions.
After teaching statistics for over ten years to college students from various math background and interests, my lectures are designed to address all the questions that introductory statistics students tend to ask and the difficulties related to statistical tests of hypotheses.
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Section 1: Introduction to testing statistical hypotheses concepts  

Lecture 1  01:51  
After this lecture you should be able to download the necessary statistical tables and other important files for the course. 

Lecture 2  02:25  
In this lesson, we learn through examples what are statistical hypotheses. 

Lecture 3  03:53  
This lecture covers the concepts of the Null and the alternative hypotheses with many examples that help the student understand the concepts. 

Lecture 4  05:11  
This lecture provides examples to help the student identify the null and the alternative hypothesis in problems and also to write down the hypotheses. 

Lecture 5  08:56  
This lecture provides detailed definitions of test of hypothesis, rejection or critical region, test statistics, type I and type II errors. 

Quiz 1 
If you did not reject the null hypothesis when testing an hypothesis, then:

1 question  
Quiz 2 
What statistical signification test do?

1 question  
Lecture 6  02:32  
This lecture provide examples to help the student identify Type 1 and Type 2 errors 

Quiz 3  1 question  
After conducting a statistical test, you conclude that the mean score of males differs significantly from the mean score of females. You have: 

Lecture 7  02:57  
This lecture provides information about the steps for testing hypotheses 

Section 2: Testing hypotheses about the population mean for one sample  
Lecture 8  09:22  
This lecture explains how to test left and right tailed hypotheses about the population mean when the sample selected is large 

Quiz 4 
Test of hypothesis Quiz about Rejection region

1 question  
Quiz 5 
Test of hypothesis Quiz: conclusion

1 question  
Lecture 9  08:15  
This lecture explains how to test a twotailed hypothesis about the population mean when the sample selected is large (n>=30). Detailed solved exercises are provided to further illustrate the concepts. 

Quiz 6 
Testing an hypothesis about a pop mean: quality control problem

1 question  
Quiz 7  1 question  
Quiz 8 
Testing an hypothesis about a pop mean: quality control problem (3)

1 question  
Quiz 9 
Testing an hypothesis about a pop mean: quality control problem (4)

1 question  
Quiz 10 
Setting up an hypothesis about a population mean

1 question  
Lecture 10  09:50  
This lectures explains how to test statistical hypotheses about the population mean when the sample selected is small (n <30) and the population we are sampling from is assumed to be normally distributed. 

Quiz 11  1 question  
This quiz asks the student to setup the hypothesis to test. 

Quiz 12 
Computing the test statistic about a student t distribution

1 question  
Section 3: Testing statistical hypotheses about the population proportion for one sample  
Lecture 11 
Testing statistical hypotheses about the population proportion for one sample

09:47  
Quiz 13 
When testing an hypothesis about the population proportion

1 question  
Quiz 14 
Compute the Z statistic for a test of a population proportion p

1 question  
Section 4: Testing statistical hypotheses about the population variance for one sample  
Lecture 12  02:49  
This lecture explains the chi square test and its properties. It also explains the point estimates of the population variance and standard deviation. The lecture provides a visual display of a family of chi square distributions with different degrees of freedom. 

Lecture 13  03:44  
This lecture provides detailed tests of hypotheses about the population variance and standard deviation for the left and right tailed test. Solved exercises are provided to help students master the concepts. 

Lecture 14  05:27  
This lecture provides detailed tests of hypotheses about the population variance and standard deviation for the twotailed test. Solved exercises are provided to help students master the concepts. 

Section 5: Testing hypotheses using Pvalues methods  
Lecture 15  09:21  
This lecture explains how to compute the Pvalues when testing hypotheses about the population mean and proportion and how to make decisions about rejecting the null hypothesis based on the calculated pvalue. 

Quiz 15 
Based on this Pvalue, what decision would you have made

1 question  
Section 6: Relationship between confidence intervals and hypotheses test  
Lecture 16  03:37  
This lecture explains the relationship between confidence intervals and hypotheses testing. Students will be able to use confidences intervals and answer questions as to whether the null hypothesis should be rejected or not. 

Section 7: Conclusion for the course  
Lecture 17  02:21  
Testing hypotheses concluding remarks and next steps to take 
I have over 18 years of work experience in the field of statistics as an Applied Statistician. For the last twelve years, I have also been teaching undergraduate college level statistics courses at St Petersburg College. As an Applied Statistician, I have developed over the years a strong interest in using EXCEL as a statistical tool with my classes in order to give to the students real world handson experience with Statistics.