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Jeff Jones
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Bob Gordon
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Yuriy Zubarev
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Kindle Notes & Highlights
by
Alex Siegman
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Practical Statistics for Data Scientists: 50 Essential Concepts
by
Peter Bruce
Read between
April 20 - May 10, 2019
5%
Key Terms for Variability Metrics
Key Terms for Variability Metrics
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7%
Key Terms for Exploring the Distribution
Key Terms for Exploring the Distribution
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8%
Key Ideas
Key Ideas for Exploring the Data Distribution
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10%
Key Terms for Exploring Two or More Variables
Key Terms for Exploring Two or More Variables
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12%
Key Ideas
Key Ideas for Exploring Two or More Variables
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13%
Key Terms for Random Sampling
Key Terms for Random Sampling
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14%
Key Ideas
Key Ideas for Random Sampling
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14%
Key Terms
Key Terms for Selection Bias
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15%
Key Terms
Key Terms for Sampling Distribution
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16%
Key Ideas
Key Ideas for Sampling Distribution
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16%
Key Terms
Key Terms for Bootstraping
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17%
Key Ideas
Key Ideas for Bootstrapping
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17%
Key Ideas
Key Ideas for Confidence Intervals
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18%
Key Terms
Key Terms for Normal Distribution
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18%
Key Ideas
Key Ideas for Normal Distribution
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20%
Key Terms for Binomial Distribution
Key Terms for Binomial Distribution
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20%
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Key Ideas for Binomial Distribution
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20%
Key Terms for Poisson and Related Distributions
Key Terms for Poisson and Related Distributions
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21%
Key Ideas
Key Ideas for Poisson and Related Distributions
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22%
Key Terms for A/B Testing
Key Terms for A/B Testing
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24%
Key Terms
Key Terms for Resampling
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25%
Key Ideas
Key Ideas for Resampling
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25%
Key Terms
Key Terms for P-values
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27%
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Key Ideas for P-values
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27%
Key Terms
Key Terms for T-tests
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27%
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Key Ideas for T-tests
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28%
Key Terms
Key Terms for Multiple Testing
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28%
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Key Ideas for Multiple Testing
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29%
Key Terms for ANOVA
Key Terms for ANOVA
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30%
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Key Ideas for ANOVA
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30%
Key Terms
Key Terms for Chi-square Test
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32%
Key Ideas
Key Ideas for Chi-square Test
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32%
Key Terms
Key Terms for Multi-arm Bandit
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33%
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Key Ideas for Multi-arm Bandit
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33%
Key Terms
Key Terms for Power
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Key Ideas for Power
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34%
Key Terms for Simple Linear Regression
Key Terms for Linear Regression
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36%
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Key Ideas for Linear Regression
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36%
Key Terms for Multiple Linear Regression
Key Terms for Multiple Linear Regression
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39%
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Key Ideas for Multiple Linear Regression
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39%
Key Terms for Prediction Using Regression
Key Terms for Prediction Using Regression
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40%
Key Ideas
Key Ideas for Prediction Using Regression
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40%
Key Terms for Factor Variables
Key Terms for Factor Variables
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42%
Key Ideas
Key Ideas for Factor Variables
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42%
Key Terms for Interpreting the Regression Equation
Key Terms for Regression Interpretation
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44%
Key Ideas
Key Ideas for Regression Interpretation
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44%
Key Terms for Regression Diagnostics
Key Terms for Regression Diagnostics
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47%
Key Ideas
Key Ideas for Regression Diagnostics
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47%
Key Terms for Nonlinear Regression
Key Terms for Nonlinear Regression
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48%
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Key Ideas for Nonlinear Regression
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