Hypothesis testing is a statistical procedure used to make inferences or conclusions about a population based on sample data.
Hypothesis testing is widely used in various fields, including science, social sciences, business, and medicine, to validate or challenge assumptions and draw meaningful conclusions from data.
This is a complete, easiest and most detailed course in Hypothesis Testing with an illustration of practical examples in Minitab.
It consists of the following topics and tools with practical examples for easy understanding and better clarity.
1. All terms and concepts used in Hypothesis Testing
2. Introduction and General procedure to conduct Hypothesis Testing
3. All types of Hypothesis Tests and selection of the correct test based on the data and application
4. 1-Sample t test
5. 1-Sample standard deviation test or 1-Variance test
6. 1-Sample % Defective test or 1-Proportion test
7. Chi-Square Goodness of fit test
8. 2-Sample t test
9. Paired t test
10. 2-Sample standard deviation test or 2-Variance test
11. 2-Sample % defective test or 2-Proportion test
12. Chi-Square test for association
13. One-Way ANOVA
14. Standard deviations test or Test for equal variances
15. Chi-Square % Defective Test
16. Use of Minitab Assistant to conduct Hypothesis Testing, and
17. Quiz on all topics to check the understanding of the course
I am sure you will be liked this course.