zedstatisics

Hypothesis testing (ALL YOU NEED TO KNOW!)

1:08:17

What is a Normal Distribution?

9:00

Learn Statistical Regression in 40 mins! My best video ever. Legit.

40:25

Probability Distribution Functions (PMF, PDF, CDF)

16:17

Binomial Distribution EXPLAINED in UNDER 15 MINUTES!

13:30

Poisson Distribution EXPLAINED in UNDER 15 MINUTES!

14:24

Basic probability: Joint, marginal and conditional probability | Independence

14:28

Teach me STATISTICS in half an hour! Seriously.

42:09

Exponential Distribution! AWESOME EXPLANATION. Why is it called "Exponential"?

22:59

What is the Coefficient Of Variation?? (+ examples!)

7:04

Regression II - Degrees of Freedom EXPLAINED | Adjusted R-Squared

14:20

Z-statistics vs. T-statistics | Inferential statistics | Probability and Statistics | Khan Academy

6:39

What are "moments" in statistics? An intuitive video!

15:44

Introduction to REGRESSION! | SSE, SSR, SST | R-squared | Errors (ε vs. e)

15:00

Regression Output Explained

33:19

Descriptive Statistics: The Mean

9:09

Variance and Standard Deviation: Why divide by n-1?

13:47

Z-Statistics vs. T-Statistics EXPLAINED in 4 Minutes

4:08

Bayesian Statistics: An Introduction

38:19

Z-Scores and Percentiles: Crash Course Statistics #18

10:55

Two-sample t test for difference of means | AP Statistics | Khan Academy

6:56

What is the t-distribution? An extensive guide!

20:49

What is skewness? A detailed explanation (with moments!)

15:12

Introduction to Survival Analysis [1/8]

12:18

What are confidence intervals? Actually.

24:03

Hypothesis testing #1: Basics (no maths!)

12:42

ANOVA: One-way analysis of variance

13:31

What is the Chi-Squared distribution? Extensive video!

18:23

Advanced Regression - Categorical X variables and Interaction terms

23:19

Hypergeometric Distribution EXPLAINED!

12:12

Descriptive Statistics: The median

9:43

Regression assumptions explained!

47:16

What is Multicollinearity? Extensive video + simulation!

27:02

Maximum Likelihood Estimation (MLE) | Score equation | Information | Invariance

42:46

What are p-values?? Seriously.

26:00

HYPOTHESIS TESTING BASICS: Type 1/Type 2 errors | Statistical power

15:27

Chi-squared Test for Independence! Extensive video!

20:30

What is COVARIANCE? What is CORRELATION? Detailed video!

21:00

Arithmetic Mean | Geometric Mean | Harmonic Mean

15:07

Chi-squared Goodness of Fit Test! Extensive video!

26:09

Standard Error (of the sample mean) | Sampling | Confidence Intervals | Proportions

18:40

Likelihood | Log likelihood | Sufficiency | Multiple parameters

28:24

Log normal distribution | Math, Statistics for data science, machine learning

6:44

Exact test, Empirical distribution, Bootstrapping

18:16

What is Kurtosis? (+ the "peakedness" controversy!)

16:00

Hyp testing #2: Testing for μ when σ is known.

16:03

Normal Distribution and Z Score | Math, Statistics for data science, machine learning

19:48

Kaplan-Meier Curves and Log-rank Test - [Survival Analysis 4/8]

36:40

What's a Log Scale?? Pandemic Plots Explained!

12:57

Hazard and Survival Functions - [Survival Analysis 5/8]

18:17

Wald test | Likelihood ratio test | Score test

13:30

What does statistical CONFOUNDING mean?? GREAT VIDEO!

14:55

Categorical Data I: Proportions testing | Z test | Chi Squared test

13:34

Relative Risk vs. Odds ratio

10:55

Signal detection theory - part 1 | Processing the Environment | MCAT | Khan Academy

6:32

23 - The Binomial Theorem & Binomial Expansion - Part 1

34:02

Censoring and Truncation + LOADS OF EXAMPLES - [Survival Analysis 2/8]

13:36

Range | Interquartile Range (IQR) | Box and whisker plot

9:07

Quantitative Methods for Business - Tutorial 1

24:46

What is Heteroskedasticity?

28:00