Abstract
Previous chapters have presented information on sampling distributions, Central Limit Theorem, confidence intervals, TYPE I error, TYPE II error, and hypothesis testing. This information is useful in understanding how sample statistics are used to test differences between population parameters. The statistical tests presented in this and subsequent chapters depend upon the level of measurement and type of research design.
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Schumacker, R., Tomek, S. (2013). Chi-Square Test. In: Understanding Statistics Using R. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6227-9_8
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DOI: https://doi.org/10.1007/978-1-4614-6227-9_8
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6226-2
Online ISBN: 978-1-4614-6227-9
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