Statistics
171 videos • 127 views • by by jaijeffcom
1
Superforecasting: How we can all improve our ability to predict the future
ACS QLD
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2
But what is a convolution?
3Blue1Brown
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3
Properties of Variance
IB Math by Zane
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4
Introduction to REGRESSION! | SSE, SSR, SST | R-squared | Errors (ε vs. e)
zedstatistics
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5
MGF for the Standard Normal Distribution
Elliot Nicholson
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6
Covariance, Clearly Explained!!!
StatQuest with Josh Starmer
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7
Variance and Standard Deviation: Why divide by n-1?
zedstatistics
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8
Analytic Guidance and 2024 NHANES Survey Content Proposal Process Webinar
Centers for Disease Control and Prevention (CDC)
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9
Trigonometry Concepts - Don't Memorize! Visualize!
Dennis Davis
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10
2022 NYR Workshop - Casual Inference in R
Lander Analytics
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11
Wizards of Odds: The Power of Probability
World Science Festival
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12
The Binomial Distribution in 30 Seconds!!!
StatQuest with Josh Starmer
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13
Entropy (for data science) Clearly Explained!!!
StatQuest with Josh Starmer
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14
Andrew Gelman: Introduction to Bayesian Data Analysis and Stan with Andrew Gelman
Generable
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15
Introduction to Bayesian data analysis - part 3: How to do Bayes?
rasmusab
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16
Crimes against data, Professor Andrew Gelman
National Centre for Research Methods (NCRM)
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17
Everything wrong with statistics (and how to fix it)
Lawrence Livermore National Laboratory
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18
All About that Bayes: Probability, Statistics, and the Quest to Quantify Uncertainty
Lawrence Livermore National Laboratory
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19
Moment Generating Function #1 - Proof
stepbil
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20
Moment Generating Function #5 Normal Distribution
stepbil
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21
Lecture 18: MGFs Continued | Statistics 110
Harvard University
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22
Lec 1 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008
MIT OpenCourseWare
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23
Precalculus Course
freeCodeCamp.org
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24
Welcome to the Series! | Philosophy of Data Science
Data & Science with Glen Wright Colopy
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25
Transformation of random variables.
Markus Emsermann
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26
IS CHESS A GAME OF CHANCE? Classical vs Frequentist vs Bayesian Probability
Dr. Trefor Bazett
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27
Probability Adventures #7: Random Variables
Mark Huber
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28
Completing an ANOVA table
Ben Beck
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29
Discrete random variable example
Statstan
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30
Epidemiology the backbone of public health
Global Health with Greg Martin
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31
How I Got Good at Coding Interviews
NeetCode
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32
Biostatistics Short Course Lecture 1 - Epidemiological Study Design 1
Ayumi Shintani
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33
Fisher Exact Test
Stokes Baker
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34
The Central Limit Theorem, Clearly Explained!!!
StatQuest with Josh Starmer
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35
[Private video]
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36
4. Descriptive and Analytical Studies | CPP NCD Epidemiology
Brian P. Mangum
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37
R-squared, Clearly Explained!!!
StatQuest with Josh Starmer
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38
Choosing a Statistical Test
Erich Goldstein
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39
Next in Science: Epidemiology | Part 1 || Radcliffe Institute
Harvard University
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40
Science Before Statistics: Causal Inference
Richard McElreath
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41
Statistics 101: Linear Regression, The Very Basics 📈
Brandon Foltz
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42
MFML 006---Simple linear regression
Cassie Kozyrkov
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43
R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
Global Health with Greg Martin
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44
MFML 045---What is optimization?
Cassie Kozyrkov
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45
Using Bootstrapping to Calculate p-values!!!
StatQuest with Josh Starmer
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46
Making Data Useful - Cassie Kozyrkov, PhD | ODSC Europe 2019
Open Data Science
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47
Linear Algebra - Full College Course
freeCodeCamp.org
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48
A friendly introduction to linear algebra for ML (ML Tech Talks)
TensorFlow
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49
Data + Assumptions = Prediction
Cassie Kozyrkov
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50
Introduction to ML and AI---MFML Part 1
Cassie Kozyrkov
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51
MFML 030---Classification vs regression
Cassie Kozyrkov
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52
Three (3) things to do when starting out in Data Science
StatQuest with Josh Starmer
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53
StatQuest: Logistic Regression
StatQuest with Josh Starmer
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54
Richard Feynman about doubt and uncertainty
Tomato Potato
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55
MFML 029---Where to start with applied AI?
Cassie Kozyrkov
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56
7 Ways to Level Up Your MATH SUPERPOWERS
Dr. Trefor Bazett
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57
Markov's Inequality Intuition
Ben Lambert
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58
PMF of a Function of a Random Variable
MIT OpenCourseWare
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59
How To Read Faster Than Ever! - Speed Reading that works immediately!
Matt DiMaio
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60
Statistics: Ch 5 Discrete Random Variable (19 of 27) The Binomial Probability Tree Diagram
Michel van Biezen
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61
How to make your own StatQuest!!!
StatQuest with Josh Starmer
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62
Statistics: Ch 5 Discrete Random Variable (18 of 27) The Binomial Probability Distribution
Michel van Biezen
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63
1. Introduction to Statistics
MIT OpenCourseWare
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64
Statistics: Ch 5 Discrete Random Variable (14 of 27) Alternate Form of the Variance Equation
Michel van Biezen
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65
Logarithms... How? (NancyPi)
NancyPi
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66
The link between expectations and probability of an indicator function
Ben Lambert
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67
Bernoulli, Binomial and Poisson Random Variables
slcmath@pc
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68
Teach me STATISTICS in half an hour! Seriously.
zedstatistics
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69
Statistics: Ch 5 Discrete Random Variable (11 of 27) Finding the Mean of a Probability Distribution
Michel van Biezen
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70
RECALL What You STUDY - REMEMBERING What You READ
Matt DiMaio
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71
Maclaurin Series Example (Calculator Tip)
Sahib Math
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72
An Introduction to Continuous Probability Distributions
jbstatistics
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73
Statistics: Ch 5 Discrete Random Variable (8 of 27) The Two Basic Properties of Probabilities
Michel van Biezen
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74
Discrete Probability Distributions: Example Problems (Binomial, Poisson, Hypergeometric, Geometric)
jbstatistics
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75
Power series and radius & Domain of convergent | Infinite Series & Sequence | Part - 15
Math Mentor
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76
The Expected Value and Variance of Discrete Random Variables
jbstatistics
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77
Algebra Ch 47: Logarithmic Functions (20 of 26) Solve for x=?
Michel van Biezen
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78
Statistics: Ch 5 Discrete Random Variable (6 of 27) The Probability Histogram
Michel van Biezen
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79
Algebra Ch 49: Binomial Theorem (1 of 18) What is the Binomial Theorem?
Michel van Biezen
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80
Statistics: Ch 5 Discrete Random Variable (4 of 27) A Discrete Random Variable Example
Michel van Biezen
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81
Machine Learning Fundamentals: Bias and Variance
StatQuest with Josh Starmer
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82
Power Series/Euler's Great Formula
MIT OpenCourseWare
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83
Introduction to Logarithms (1 of 2: Definition)
Eddie Woo
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84
Power Series Introduction
Firefly Lectures
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85
Taylor and Maclaurin Series - An Introduction
Flammable Maths
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86
Taylor and Maclaurin Series
Professor Dave Explains
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87
MFML 023---Reliable or unreliable?
Cassie Kozyrkov
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88
Statistics 101: Is My Data Normal?
Brandon Foltz
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89
Bayesian vs Frequentist Probability | The Monty Hall problem | Statistics and Probability EP20
Roy Zhou
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90
12. Iterated Expectations
MIT OpenCourseWare
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91
What's so special about Euler's number e? | Chapter 5, Essence of calculus
3Blue1Brown
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92
Bayes' Theorem and Cancer Screening
Patrick J
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93
The Uniform Distribution.mp4
Kathy Arcangeli
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94
Algebra Ch 48: Sequences and Series (21 of 34) Find the nth Term of the Arithmetic Sequence
Michel van Biezen
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95
Uniform Probability Distribution
Kevin Brown
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96
World's Most Accurate COVID Forecaster Predicts Pandemic's End
Bloomberg Technology
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97
Poisson or Not? (When does a random variable have a Poisson distribution?)
jbstatistics
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98
Books for Learning Mathematics
Tibees
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99
Statistics 101: A Tour of the Normal Distribution
Brandon Foltz
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100
Binomial vs Negative Binomial vs Geometric Distributions
Explained by Michael
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101
8. Continuous Random Variables
MIT OpenCourseWare
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101
8. Continuous Random Variables
MIT OpenCourseWare
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102
6. Discrete Random Variables II
MIT OpenCourseWare
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103
Negative Binomial Distribution Mean and Variance
Boer Commander
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104
7. Discrete Random Variables III
MIT OpenCourseWare
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105
Negative binomial distribution -- Example 1
Lawrence Leemis
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106
The Poisson Distribution: Introduction (fast version)
jbstatistics
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107
The Normal Distribution, Clearly Explained!!!
StatQuest with Josh Starmer
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108
STAT 4520 Indicator functions
Brian Zaharatos
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109
An Introduction to the Binomial Distribution
jbstatistics
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110
Statistics 101: The Binomial Distribution
Brandon Foltz
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111
Basics of Probability, Binomial and Poisson Distribution
LEARN & APPLY : Lean and Six Sigma
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112
An Introduction to the Geometric Distribution
jbstatistics
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113
Statistics 101: Introduction to the Poisson Distribution
Brandon Foltz
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114
Negative Binomial Distribution
LearnChemE
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115
Overview of Some Discrete Probability Distributions (Binomial,Geometric,Hypergeometric,Poisson,NegB)
jbstatistics
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116
Introduction to the Negative Binomial Distribution
jbstatistics
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117
Negative Binomial Distribution - Worked Example
Maths Resource
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118
14. Poisson Process I
MIT OpenCourseWare
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119
Maclaurin series of cos(x) | Series | AP Calculus BC | Khan Academy
Khan Academy
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120
Taylor & Maclaurin polynomials intro (part 1) | Series | AP Calculus BC | Khan Academy
Khan Academy
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121
How to Find a Taylor Series
The Complete Guide to Everything
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122
Dear Calculus 2 Students, This is why you're learning Taylor Series
Zach Star
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123
Taylor Series and Maclaurin Series - Calculus 2
The Organic Chemistry Tutor
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124
Naive Bayes, Clearly Explained!!!
StatQuest with Josh Starmer
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125
03 - The Normal Probability Distribution
Math and Science
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126
Maximum Likelihood, clearly explained!!!
StatQuest with Josh Starmer
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127
Introduction to Random Variables Probability Distribution
Anil Kumar
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128
Discrete Random Variables - Example
slcmath@pc
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129
Maximum Likelihood For the Normal Distribution, step-by-step!!!
StatQuest with Josh Starmer
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130
L12.2 The Sum of Independent Discrete Random Variables
MIT OpenCourseWare
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131
Regression2
Jason Bryer
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132
Bayes theorem, the geometry of changing beliefs
3Blue1Brown
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133
Bayesian Inference is Just Counting
Richard McElreath
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134
The Bayesian Trap
Veritasium
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135
Convolution Theorem for Probability.
BrofessorsBooks
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136
Lecture 17: Moment Generating Functions | Statistics 110
Harvard University
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137
Gentle introduction to moment generating functions
Phil Chan (philchan)
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138
Statistics: Basics – Epidemiology & Biostatistics | Lecturio
Lecturio Medical
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139
Biostatistics SUMMARY STEP 1 - USMLE The Extra stuff
Randy Neil, MD
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140
Normal Distribution and Z-Scores for Biostatistics - CRASH! Medical Review Series
Paul Bolin, M.D.
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141
USMLE Biostatistics STEP 1 (1 of 4) Dallas, TX
Randy Neil, MD
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142
Finite Math: Markov Chain Example - The Gambler's Ruin
Brandon Foltz
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143
[Private video]
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144
The Sum of Discrete and Continuous Random Variables
MIT OpenCourseWare
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145
17- Discrete Random Variables, PMF, Independent Random Variables
Probability Course
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146
Convolution
Elliot Nicholson
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147
Normal Quantile-Quantile Plots
jbstatistics
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148
Statistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and more
Global Health with Greg Martin
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149
The basics of basic probability
Dane McGuckian (STATSprofessor)
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150
MFML 001---What is machine learning?
Cassie Kozyrkov
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151
R Programming Tutorial - Learn the Basics of Statistical Computing
freeCodeCamp.org
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152
Are you Bayesian or Frequentist?
Cassie Kozyrkov
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153
Random Variables and Probability Distribution
Anil Kumar
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154
Feynman on Scientific Method.
seabala
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155
How Bayes Theorem works
Brandon Rohrer
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156
Introduction to Bayesian data analysis - part 1: What is Bayes?
rasmusab
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157
Jacqueline Buros: Predicting survival from early tumor data in oncology clinical trials
Generable
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158
Critical Reasoning in Data Science (Kristin Morgan & Glen Wright Colopy) |Philosophy of Data Science
Data & Science with Glen Wright Colopy
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159
Statistics and Probability Full Course || Statistics For Data Science
Geek's Lesson
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160
In Statistics, Probability is not Likelihood.
StatQuest with Josh Starmer
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161
5. Discrete Random Variables I
MIT OpenCourseWare
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162
Values, Objectivity, & Data Science (Kevin Zollman) | Philosophy of Data Science
Data & Science with Glen Wright Colopy
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163
Analytics versus Statistics - What do they bring to the table?
Cassie Kozyrkov
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164
6. Monte Carlo Simulation
MIT OpenCourseWare
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165
Data charlatans... and how to spot them
Cassie Kozyrkov
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166
Multiple Regression - Dummy variables and interactions - example in Excel
Jason Delaney
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167
Philosophy of Science & Statistics | Deborah Mayo | Keynote Talk
Data & Science with Glen Wright Colopy
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168
Top 5 Data Questions
Cassie Kozyrkov
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169
The most powerful idea in data science
Cassie Kozyrkov
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170
Markov Chains Clearly Explained! Part - 1
Normalized Nerd
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171
Bayes' Theorem - Example: A disjoint union
Dr. Trefor Bazett
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