thinkstats2
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Description
Contents
Reviews
Language
Unknown
ISBN
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Preface
How I wrote this book
Using the code
Exploratory data analysis
A statistical approach
The National Survey of Family Growth
Importing the data
DataFrames
Variables
Transformation
Validation
Interpretation
Exercises
Glossary
Distributions
Histograms
Representing histograms
Plotting histograms
NSFG variables
Outliers
First babies
Summarizing distributions
Variance
Effect size
Reporting results
Exercises
Glossary
Probability mass functions
Pmfs
Plotting PMFs
Other visualizations
The class size paradox
DataFrame indexing
Exercises
Glossary
Cumulative distribution functions
The limits of PMFs
Percentiles
CDFs
Representing CDFs
Comparing CDFs
Percentile-based statistics
Random numbers
Comparing percentile ranks
Exercises
Glossary
Modeling distributions
The exponential distribution
The normal distribution
Normal probability plot
The lognormal distribution
The Pareto distribution
Generating random numbers
Why model?
Exercises
Glossary
Probability density functions
PDFs
Kernel density estimation
The distribution framework
Hist implementation
Pmf implementation
Cdf implementation
Moments
Skewness
Exercises
Glossary
Relationships between variables
Scatter plots
Characterizing relationships
Correlation
Covariance
Pearson's correlation
Nonlinear relationships
Spearman's rank correlation
Correlation and causation
Exercises
Glossary
Estimation
The estimation game
Guess the variance
Sampling distributions
Sampling bias
Exponential distributions
Exercises
Glossary
Hypothesis testing
Classical hypothesis testing
HypothesisTest
Testing a difference in means
Other test statistics
Testing a correlation
Testing proportions
Chi-squared tests
First babies again
Errors
Power
Replication
Exercises
Glossary
Linear least squares
Least squares fit
Implementation
Residuals
Estimation
Goodness of fit
Testing a linear model
Weighted resampling
Exercises
Glossary
Regression
StatsModels
Multiple regression
Nonlinear relationships
Data mining
Prediction
Logistic regression
Estimating parameters
Implementation
Accuracy
Exercises
Glossary
Time series analysis
Importing and cleaning
Plotting
Linear regression
Moving averages
Missing values
Serial correlation
Autocorrelation
Prediction
Further reading
Exercises
Glossary
Survival analysis
Survival curves
Hazard function
Inferring survival curves
Kaplan-Meier estimation
The marriage curve
Estimating the survival curve
Confidence intervals
Cohort effects
Extrapolation
Expected remaining lifetime
Exercises
Glossary
Analytic methods
Normal distributions
Sampling distributions
Representing normal distributions
Central limit theorem
Testing the CLT
Applying the CLT
Correlation test
Chi-squared test
Discussion
Exercises
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