# Statistics

## Basics of statistics

^{8} Describing Multi-dimensional Data

Published: 2018-12-03

Category: { Statistics }

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Summary: Describing multi-dimensional data

Pages: 7

^{6} Linear Regression

Published: 2019-01-01

Category: { Statistics }

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References:
- The Elements of Statistical Learning by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie

Summary: Linear regression of multidimensional data

Pages: 7

^{5} Normalization Methods for Numeric Data

Published: 2018-11-18

Category: { Statistics }

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References:
- Data Mining by Jiawei Han, Micheline Kamber, Jian Pei

Summary: Detecting correlations using correlations for numerical data

Pages: 7

^{4} Correlation Coefficient and Covariance for Numeric Data

Published: 2018-11-18

Category: { Statistics }

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References:
- Data Mining by Jiawei Han, Micheline Kamber, Jian Pei

Summary: Detecting correlations using correlations for numeric data

Pages: 7

^{3} Chi-square Correlation Test for Nominal Data

Published: 2018-11-18

Category: { Statistics }

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References:
- Data Mining by Jiawei Han, Micheline Kamber, Jian Pei
- Kendall rank correlation coefficient
- Spearman's rank correlation coefficient

Summary: Detecting correlations using Pearson's chi square correlation test

Pages: 7

^{2} Jargons

Published: 2018-11-24

Category: { Statistics }

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References:
- Elements of Statistics by Stephen Bernstein and Ruth Bernstein

Summary: Jargons in statistics, accuracy, precision, population, sample, etl

Pages: 7

^{1} What is Statistics

Published: 2019-01-18

Category: { Statistics }

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Summary: An overview of statistics

Pages: 7