Abstract
Much can be learned by constructing graphs and elementary statistical examination of the researcher’s gathered data. Data input errors may be spotted and cases with extreme values highlighted. It is always relevant to examine the data at a basic level and in a systematic fashion. It is most certainly incorrect to search haphazardly for statistical significance. Based upon such rudimentary investigations, initial hypotheses may be modified or anticipated methods for further testing may have to be revised. The methods described in this chapter would often be precursors to the application of the techniques described in later chapters. The methods presented involve graphics and methods for initial data examination and description.
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Aljandali, A. (2016). Graphics and Introductory Statistical Analysis of Data. In: Quantitative Analysis and IBM® SPSS® Statistics. Statistics and Econometrics for Finance. Springer, Cham. https://doi.org/10.1007/978-3-319-45528-0_2
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DOI: https://doi.org/10.1007/978-3-319-45528-0_2
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-45528-0
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