July 2016
Beginner to intermediate
462 pages
9h 14m
English
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Chapter 3. Statistical Data Analysis and Probability
We will cover the following recipes in this chapter:
- Fitting data to the exponential distribution
- Fitting aggregated data to the gamma distribution
- Fitting aggregated counts to the Poisson distribution
- Determining bias
- Estimating kernel density
- Determining confidence intervals for mean, variance, and standard deviation
- Sampling with probability weights
- Exploring extreme values
- Correlating variables with the Pearson's correlation
- Correlating variables with the Spearman rank correlation
- Correlating a binary and a continuous variable with the point-biserial correlation
- Evaluating relationships between variables with ANOVA
Introduction
Various statistical distributions have been invented, which are the equivalent ...