Statistical methods: basic inferences

Description

The purpose of statistical analysis is to glean meaning from sets of data in order to describe data patterns and relationships between variables. In order to do this, we must be able to summarize and lay out datasets in a manner that allows us to use more advanced methods of examination. This chapter introduces fundamental methods of statistics, such as the central limit theorem, confidence intervals, hypothesis testing and analysis of variance (ANOVA).

Publication Date

1-4-2019

DOI

10.1007/978-3-319-68837-4_6

ISBN

978-3319688367; 978-3319688374

Publisher

Springer New York LLC

Keywords

Statistics, Statistical analysis, ANOVA

Source Link URL

https://doi.org/10.1007/978-3-319-68837-4_6

discipline

Physical Sciences and Mathematics; Statistics and Probability; Statistical Methodology; Physical Sciences and Mathematics; Statistics and Probability; Statistical Theory

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