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1
Intro
2
Probability Definitions
3
Union
4
Intersection
5
Complement
6
Conditional Probability
7
Contingency Table
8
Addition Rule
9
Joint Probability
10
Dependent vs. Independent
11
Independent Events
12
Mutually Exclusive Events
13
Venn Diagrams
14
Tree Diagrams
15
Total Probability
16
Bayes' Theorem
17
Combinatorics
18
Permutations
19
Combinations
20
Poker Probabilities
21
Which to use?
22
Variations
23
Types of Variables
24
Discrete Uniform Distribution
25
Probability Mass
26
Variance
27
Relative Frequency Histogram
28
Cumulative Distribution
29
Expected Value
30
Standard Deviation
31
Normal Distribution
32
Z Score
33
Negative Z Score
34
Reverse Z Score
35
Confidence Intervals
36
Binomial Probability
37
Poisson Distribution
38
Geometric Probability
39
Central Limit Theorem
40
Negative Binomial Probability
41
Which to use?
42
Negative Binomial Formula
43
Hypergeometric Distribution
44
Continuous Probability
45
Continuous Probability Formula
46
Exponential Distribution
47
Exponential Formulas
Description:
Dive into a comprehensive 47-minute video tutorial on probability, covering everything from a standard 500-page textbook. Learn essential concepts and formulas while solving real-world problems. Explore topics such as union, intersection, conditional probability, Bayes' Theorem, combinatorics, distributions, and more. Follow along with the detailed table of contents to easily navigate through specific subjects. Gain a solid understanding of probability theory and its practical applications in data science and various fields.

Comprehensive Introduction to Probability Theory and Applications

Derek Banas
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#Mathematics #Statistics & Probability #Probability #Data Science #Combinatorics #Probability Theory #Bayes Theorem #Permutations
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Intro