The Central Limit Theorem is Amazing
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The Central Limit Theorem is Amazing
6:22
Why are there two t-tests? | Pooled vs. Unpooled
Stats with Brian
Why are there two t-tests? | Pooled vs. Unpooled
7:06
Why does the sample variance have an n-1?
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Why does the sample variance have an n-1?
6:13
the most important number in statistics #statistics #stats #data #datascience
Stats with Brian
the most important number in statistics #statistics #stats #data #datascience
0:57
I'm 95% Confident You Don't Know What a Confidence Interval Means
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I'm 95% Confident You Don't Know What a Confidence Interval Means
3:42
What is a Bonferroni Correction for multiple testing?
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What is a Bonferroni Correction for multiple testing?
8:07
Prediction Intervals vs. Confidence Intervals
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Prediction Intervals vs. Confidence Intervals
4:37
The LASSO... MADE EASY!!!
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The LASSO... MADE EASY!!!
9:07
The physics of probability mass and density functions
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The physics of probability mass and density functions
12:15
What is Least Squares Linear Regression?
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What is Least Squares Linear Regression?
8:03
Likelihood Ratio Tests Clearly Explained
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Likelihood Ratio Tests Clearly Explained
18:28
Fail to reject the null hypothesis?
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Fail to reject the null hypothesis?
5:44
What is a consistent estimator in statistics?
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What is a consistent estimator in statistics?
9:51
Complete Statistics, Ancillary Statistics, and Basu's Theorem
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Complete Statistics, Ancillary Statistics, and Basu's Theorem
23:18
Minimal Sufficient Statistics Clearly Explained
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Minimal Sufficient Statistics Clearly Explained
10:32
Chi-squared tests ... MADE EASY!!!
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Chi-squared tests ... MADE EASY!!!
21:25
The Rao-Blackwell Theorem Explained
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The Rao-Blackwell Theorem Explained
15:12
The EM Algorithm Clearly Explained (Expectation-Maximization Algorithm)
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The EM Algorithm Clearly Explained (Expectation-Maximization Algorithm)
30:49
p-values explained, in 5 levels of complexity
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p-values explained, in 5 levels of complexity
10:19
What is a degree of freedom?
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What is a degree of freedom?
12:30
The Monty Hall Problem without probability
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The Monty Hall Problem without probability
4:33
Analysis of Variance (ANOVA) and F statistics .... MADE EASY!!!
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Analysis of Variance (ANOVA) and F statistics .... MADE EASY!!!
10:31
The Cramer-Rao Lower Bound ... MADE EASY!!!
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The Cramer-Rao Lower Bound ... MADE EASY!!!
10:38
Outliers in Data Analysis... and how to deal with them!
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Outliers in Data Analysis... and how to deal with them!
5:03
Link functions for GLMs... MADE EASY!!!
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Link functions for GLMs... MADE EASY!!!
8:56
The Uniform Distribution MLE is... very UNLIKELY
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The Uniform Distribution MLE is... very UNLIKELY
3:46
Bayesian vs. Frequentist Statistics ... MADE EASY!!!
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Bayesian vs. Frequentist Statistics ... MADE EASY!!!
6:12
Maximum Likelihood Estimation ... MADE EASY!!!
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Maximum Likelihood Estimation ... MADE EASY!!!
9:12
The simplest non-parametric test... The Sign Test
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The simplest non-parametric test... The Sign Test
2:56
Skewness... MADE EASY!!!
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Skewness... MADE EASY!!!
2:59
Unbiased Estimators ... Made Easy!
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Unbiased Estimators ... Made Easy!
6:03
Can more data be BAD??? (The 10% rule and Finite Population Correction)
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Can more data be BAD??? (The 10% rule and Finite Population Correction)
6:54
Inverse Transform Sampling ... MADE EASY!!!
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Inverse Transform Sampling ... MADE EASY!!!
7:00
Regularization... Made Easy!!!
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Regularization... Made Easy!!!
4:44
Heteroskedasticity and Homoskedasticity... What are they???
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Heteroskedasticity and Homoskedasticity... What are they???
4:35
Independent vs Mutually Exclusive Events ... MADE EASY!!!
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Independent vs Mutually Exclusive Events ... MADE EASY!!!
8:32
Probability vs. Likelihood ... MADE EASY!!!
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Probability vs. Likelihood ... MADE EASY!!!
7:31
The Method of Moments ... Made Easy!
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The Method of Moments ... Made Easy!
9:02
Sufficient Statistics and the Factorization Theorem
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Sufficient Statistics and the Factorization Theorem
15:19
Chebyshev's Inequality ... Made Easy!
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Chebyshev's Inequality ... Made Easy!
9:46
Empirical Rule (68-95-99.7 Rule) and Z-scores!
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Empirical Rule (68-95-99.7 Rule) and Z-scores!
8:39
What is R-Squared (R^2) ... REALLY?
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What is R-Squared (R^2) ... REALLY?
8:53
Markov's Inequality ... Made Easy!
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Markov's Inequality ... Made Easy!
9:25