Webinar- Sampling Distribution, Hypothesis testing, Pvalue, T & Z test- An intuitive & deeper understanding Part-1

The video is a webinar which i took while taking a session of my fellow learners in July 2020. This webinar details out the basic aspects as well as advance concepts and its implementation in Python.

Content of Presentation -

*Sampling Distribution- Continuous random variable
*Central limit theorem- Intuitive understanding using excel & python
*Hypothesis testing- One Sample
*Hypothesis testing- Two sample- Paired (Relative)
*Hypothesis testing- Two sample- Un-paired (Independent)
*Z & Student-t distribution
*Hypothesis testing
*Z-test or t-test : Maths- Compiled
*Z-test or t-test : Python Syntax- Compiled
*Conditions for Applying Z or t-test
*Test for Normality or other distributions- Visualization methods & tests
*Transformation to Normal Distribution- Methods, box-cox & power transform
*ANOVA test- oneway, two way
*Multicomp pairwise_tukeyhs
*Chi- Square test
*Lets make FOR loop for everything & play
*Advanced topics
*Sampling distributions of categorical variable (Sampling Distribution of the Sample Proportion)
*Sampling proportion examples- Poll results etc.
*Non parametric testing vs parametric testing
*Wilcoxon signed-rank test
*Measure of Skewness & Kurtosis

Any small typo error or mistake is deeply regretted.