Statistical Analysis for Experimental Research

The analysis of data resulting from experiments is essential because it aims mainly at compensating for various sources of bias and interpretation of the findings. Statistics is concerned with the behavior of data under varying conditions. A knowledge of algebra and basic aspects of calculus, together with a willingness to think systematically, suffice to acquire an excellent understanding of statistical methods for experimental research. In this presentation, I explain the underlying rationale of data analysis and the basic techniques available for that purpose.
2:43 Introduction
4:41 Principles
5:19 Terms and Definitions
16:54 Logic of Statistical Analysis
21:00 Statistical Tests
36:54 Take away

[@sujathaontheweb3740]

Every single student of statistics and anyone doing research SHOULD watch this! Make this mandatory learning and give them this video! So succinct and clear!

[@ahmedluqman9716]

نحن بأنتظار باقي السلسلة (observational and modeling research )/ كل التقدير

[@jackye6846]

Wow! Thank you!

[@wafiawafa54]

Thanks

[@AhmedTaha-ij8xj]

where is the rest ( observational and modeling research) ? Thanks in advance

[@Patelsafia1]

When would you use a t-test?

[@mikeeells1591]

I played this at the same time on three different instances amd staggered and I didn't understand it at all