Abstract
Through the previous chapters, we have obtained a solid foundation concerning probabilities and distributions. Now the question might arise how those are related to statistics, what statistics is anyway, and why yet another, separate scientific discipline is needed? In this chapter we explain how different “types” of statistics are related. We then cover a number of sampling strategies and discuss important concepts such as the law of large numbers and the central limit theorem, before we derive and explain how the relation between variables can be quantified using the covariance and the correlation.
Statistics is the grammar of science.
Karl Pearson (1857–1936)
English Statistician
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
D. Lusinchi. “President” Landon and the 1936 Literary Digest Poll: Were automobile and telephone owners to blame? Social Science History, 36(1): 23–54, 2012. DOI https://doi.org/10.1017/S014555320001035X.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sandfeld, S. (2024). Introduction to Statistics. In: Materials Data Science. The Materials Research Society Series. Springer, Cham. https://doi.org/10.1007/978-3-031-46565-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-46565-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-46564-2
Online ISBN: 978-3-031-46565-9
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)