- Binomial
- Cont RV
- Continuous Random Variable
- Cont Joint Probability Distribution Function Correlation
- Joint Probability Distribution Function Correlation - 011111
- Poisson Distribution
- Hypergeometric
- Geometric - 1
- Geometric - 2
- Z Test
- ANOVA - 1
- ANOVA - 2, Unbalanced Data
- ANOVA - 2, Unbalanced
- Dependency Sample T Test
- Z & Independent Sample Test
- Sampling Distribution 2 - Optional
- Sampling Distribution - Optional
- Hypothesis Testing - 1
- Hypothesis Testing - 2
- Hypothesis Testing - 3
- Hypothesis Testing - 4
- Normal Distribution - 1
- Normal Distribution - 2
- Normal Distribution - 3
- Normal Distribution - 3 Z-Score
- Correlation And Regression - 01
- Correlation And Regression - 02
- Correlation And Regression - 03
- Correlation And Regression - 04
- Excel Z-test 01
- Multiple Linear Regression - 01
- Multiple Linear Regression - 02
- Two Sample Z-Test and One Sample T-Test
- Sampling Distribution
- 1 - Statistics & Probability: Introduction to Random Variable and its distribution
- 2 - statistics & Probability: Discrete Random variables
- 3 - Statistics & Probability: Discrete Random Variables
- 4 - Statistics & Probability: Discrete Random Variable and its distribution
- 5 - Statistics & Probability: Discrete Random variables
- 6 - discrete Random Variable: CDF to PMF
- 7 - Statistics & Probability: Discrete random variables
- 8 - discrete random variables: Tossing coin
- 9 - Poisson Distribution And Its Applications
- ANOVA
- Binomial Multinomial
- DRV
- DRV4
- Hypothesis - 1
- Hypothesis - 2 Test
- JPMF Lecture
- Lecture # 123
- Lecture # 456
- Lecture # 789
- Lecture - Misc
- Multiple Linear Regression
- Normal Distribution
- Poisson Distribution
- Single Linear Regression
- Discrete / Continuous Random variables
- Probability distribution,
- probability mass function (PMF)
- Cumulative Dist Function (CDF)
- Probability graph
- Joint distribution for 2 discrete random variables (JPMF)
- Marginal distributions, E(X), E(Y), E(XY), Correlation(X,Y).
- Some Discrete distributions:
- Binomial
- Multinomial
- Hypergeometric
- Poisson
- Continuous Dist:
- Normal and Standard Normal
- Z score
- Areas under the normal curves
- Z table.
- Histogram, Box-plot, Scatter plot, dot plot, Laws of 4 kinds of events, and Bayes’ Theorem.
- Random variables, PMF, PDF, CDF, JPMF, JPDF, Mathematical Expectation of discrete and
- Continuous random variables.
- Binomial, Multinomial, Poisson, Hypergeometric, and Geometric distributions.
- Areas under the standard normal curve and its applications.
- Confidence interval for means and difference between two means.
- Z-test (one and two samples), t-test (Dependent, independent, equal and unequal variances),
- Simple linear Regression Analysis.