inferential_thinking_urls_10/26/2018

inferential_thinking_urls_10_26_2018.txt

/
/chapters/intro
/chapters/01/what-is-data-science
/chapters/01/1/intro
/chapters/01/1/1/computational-tools
/chapters/01/1/2/statistical-techniques
/chapters/01/2/why-data-science
/chapters/01/3/Plotting_the_Classics
/chapters/01/3/1/Literary_Characters
/chapters/01/3/2/Another_Kind_Of_Character
/chapters/02/causality-and-experiments
/chapters/02/1/observation-and-visualization-john-snow-and-the-broad-street-pump
/chapters/02/2/snow-s-grand-experiment
/chapters/02/3/establishing-causality
/chapters/02/4/randomization
/chapters/02/5/endnote
/chapters/03/programming-in-python
/chapters/03/1/Expressions
/chapters/03/2/Names
/chapters/03/2/1/Growth
/chapters/03/3/Calls
/chapters/03/4/Introduction_to_Tables
/chapters/04/Data_Types
/chapters/04/1/Numbers
/chapters/04/2/Strings
/chapters/04/2/1/String_Methods
/chapters/04/3/Comparison
/chapters/05/Sequences
/chapters/05/1/Arrays
/chapters/05/2/Ranges
/chapters/05/3/More_on_Arrays
/chapters/06/Tables
/chapters/06/1/Sorting_Rows
/chapters/06/2/Selecting_Rows
/chapters/06/3/Example_Trends_in_the_Population_of_the_United_States
/chapters/06/4/Example_Gender_Ratio_in_the_US_Population
/chapters/07/Visualization
/chapters/07/1/Visualizing_Categorical_Distributions
/chapters/07/2/Visualizing_Numerical_Distributions
/chapters/07/3/Overlaid_Graphs
/chapters/08/Functions_and_Tables
/chapters/08/1/Applying_a_Function_to_a_Column
/chapters/08/2/Classifying_by_One_Variable
/chapters/08/3/Cross-Classifying_by_More_than_One_Variable
/chapters/08/4/Joining_Tables_by_Columns
/chapters/08/5/Bike_Sharing_in_the_Bay_Area
/chapters/09/Randomness
/chapters/09/1/Conditional_Statements
/chapters/09/2/Iteration
/chapters/09/3/Simulation
/chapters/09/4/Monty_Hall_Problem
/chapters/09/5/Finding_Probabilities
/chapters/10/Sampling_and_Empirical_Distributions
/chapters/10/1/Empirical_Distributions
/chapters/10/2/Sampling_from_a_Population
/chapters/10/3/Empirical_Distribution_of_a_Statistic
/chapters/11/Testing_Hypotheses
/chapters/11/1/Assessing_Models
/chapters/11/2/Multiple_Categories
/chapters/11/3/Decisions_and_Uncertainty
/chapters/12/Comparing_Two_Samples
/chapters/12/1/AB_Testing
/chapters/12/2/Deflategate
/chapters/12/3/Causality
/chapters/13/Estimation
/chapters/13/1/Percentiles
/chapters/13/2/Bootstrap
/chapters/13/3/Confidence_Intervals
/chapters/13/4/Using_Confidence_Intervals
/chapters/14/Why_the_Mean_Matters
/chapters/14/1/Properties_of_the_Mean
/chapters/14/2/Variability
/chapters/14/3/SD_and_the_Normal_Curve
/chapters/14/4/Central_Limit_Theorem
/chapters/14/5/Variability_of_the_Sample_Mean
/chapters/14/6/Choosing_a_Sample_Size
/chapters/15/Prediction
/chapters/15/1/Correlation
/chapters/15/2/Regression_Line
/chapters/15/3/Method_of_Least_Squares
/chapters/15/4/Least_Squares_Regression
/chapters/15/5/Visual_Diagnostics
/chapters/15/6/Numerical_Diagnostics
/chapters/16/Inference_for_Regression
/chapters/16/1/Regression_Model
/chapters/16/2/Inference_for_the_True_Slope
/chapters/16/3/Prediction_Intervals
/chapters/17/Classification
/chapters/17/1/Nearest_Neighbors
/chapters/17/2/Training_and_Testing
/chapters/17/3/Rows_of_Tables
/chapters/17/4/Implementing_the_Classifier
/chapters/17/5/Accuracy_of_the_Classifier
/chapters/17/6/Multiple_Regression
/chapters/18/Updating_Predictions
/chapters/18/1/More_Likely_than_Not_Binary_Classifier
/chapters/18/2/Making_Decisions