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(p. 362) 15. Quantitative Analysis: Description and Inference 

(p. 362) 15. Quantitative Analysis: Description and Inference
Chapter:
(p. 362) 15. Quantitative Analysis: Description and Inference
Author(s):

Sandra Halperin

and Oliver Heath

DOI:
10.1093/hepl/9780198702740.003.0015
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date: 30 November 2020

This chapter deals with quantitative analysis, and especially description and inference. It introduces the reader to the principles of quantitative research and offers a step-by-step guide on how to use and interpret a range of commonly used techniques. The first part of the chapter considers the building blocks of quantitative analysis, with particular emphasis on different ways of summarizing data, both graphically and with tables, and ways of describing the distribution of one variable using univariate statistics. Two important measures are discussed: the mean and the standard deviation. After elaborating on descriptive statistics, the chapter explores inferential statistics and explains how to make generalizations. It also presents the concept of confidence intervals, more commonly known as the margin of error, and measures of central tendency.

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