Descriptive and Inferential Statistics in Undergraduate Data Science Research Projects

Malcolm J. D'Souza, Edward Brandenburg, Derald Wentzien, Riza Bautista, Agashi Nwogbaga, Rebecca Miller and Paul Olsen

A chapter in Advances in Statistical Methodologies and Their Application to Real Problems from IntechOpen

Abstract: Undergraduate data science research projects form an integral component of the Wesley College science and mathematics curriculum. In this chapter, we provide examples for hypothesis testing, where statistical methods or strategies are coupled with methodologies using interpolating polynomials, probability and the expected value concept in statistics. These are areas where real-world critical thinking and decision analysis applications peak a student's interest.

Keywords: Wesley College; STEM; undergraduate research; solvolysis; phenyl chloroformate; benzoyl chloride; benzoyl fluoride; benzoyl cyanide; Grunwald-Winstein equation; transition-state; addition-elimination; multiple regression; time-series; Ebola; polynomial functions; probability; expected value (search for similar items in EconPapers)
JEL-codes: C60 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:108034

DOI: 10.5772/65721

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