This is a complete, easiest and detailed course in Multivariate Analysis with a detailed 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 important terms and concepts used in Multivariate Analysis like Variance, Standard Deviation, Covariance, Eigenvectors, Eigenvalues, Principal Components (PC), etc.
2. Introduction of all Multivariate Tools used in Minitab
3. Selection of the correct Multivariate Tool based on the data and application
4. Principal Component Analysis (PCS) with a practical example in Minitab
5. Factor Analysis with a practical example in Minitab
6. Item Analysis with a practical example in Minitab
7. Cluster Observations Analysis with a practical example in Minitab
8. Cluster Variables Analysis with a practical example in Minitab
9. Cluster K-Means Analysis with a practical example in Minitab
10. Discriminant Analysis with a practical example in Minitab
11. Simple Correspondence Analysis with a practical example in Minitab
12. Multiple Correspondence Analysis with a practical example in Minitab
Each of these Multivariate Tools is explained with a systematic approach following:
Detailed introduction of the Multivariate Tools
Data Considerations (Requirements) for each Multivariate Tools, that will help you to collect data in a correct quantity and quality
When to use each of the Multivariate Tools?
Practical Example of Each Multivariate Tools for easy understanding and better clarity
Detailed procedure to use each Multivariate Analysis Tools in Minitab
Selection of various options while conducting each of the Multivariate Analysis Tools
Detailed interpretation of results from session window after conducting Multivariate Analysis by Each Tool
Detailed interpretation of results from graph window after conducting Multivariate Analysis by Each Tool
I am sure you will be liked this course.
During the learning process, please write me back with any of your questions, queries, or comments. I will be more than happy to reply to all your messages.
