Crash Course Statistics
(24.01.2018–09.01.2019)10 min
Źródło: nieznane
Odcinki
S1:O1
What is Statistics
S1:O2
Mathematical Thinking
S1:O3
Measures of Central Tendency
S1:O4
Measures of Spread
S1:O5
Data Visualization: Part 1
S1:O6
Plots, Outliers, and Justin Timberlake: Data Visualization Part 2
S1:O7
The Shape of Data: Distributions
S1:O8
Correlation Doesn't Equal Causation
S1:O9
Controlled Experiments
S1:O10
Sampling Methods and Bias with Surveys
S1:O11
Science Journalism
S1:O12
Henrietta Lacks, the Tuskegee Experiment, & Ethical Data Collection
S1:O13
Probability Part 1: Rules and Patterns
S1:O14
Probability Part 2: Updating Your Beliefs with Bayes
S1:O15
The Binomial Distribution
S1:O16
Geometric Distributions & The Birthday Paradox
S1:O17
Randomness
S1:O18
Z-Scores and Percentiles
S1:O19
The Normal Distribution
S1:O20
Confidence Intervals
S1:O21
How P-Values help us test hypothesis
S1:O22
P-Value Problems
S1:O23
Playing with Power: P-Values Pt 3
S1:O24
You know I'm all about that Bayes
S1:O25
Bayes in science and everyday life
S1:O26
Test Statistics
S1:O27
T-Tests: A Matched Pair Made in Heaven
S1:O28
Degrees of Freedom & Effect Sizes
S1:O29
Chi-Square Tests
S1:O30
P-Hacking
S1:O31
The Replication Crisis
S1:O32
Regression
S1:O33
ANOVA
S1:O34
ANOVA Part 2: Dealing with Intersectional Groups
S1:O35
Fitting Models Is like Tetris
S1:O36
Supervised Machine Learning
S1:O37
Unsupervised Machine Learning
S1:O38
Intro to Big Data
S1:O39
Big Data Problems
S1:O40
Statistics in the Courts
S1:O41
Neural Networks
S1:O42
War
S1:O43
When Predictions Fail
S1:O44
When Predictions Succeed