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Hypothesis Testing

In: Applied Statistics for Social and Management Sciences

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  • Abdul Quader Miah

    (Asian Institute of Technology)

Abstract

The importance of hypothesis testing lies in the fact that many types of decision-problems can be formulated as hypothesis testing problems. Simple hypothesis, composite hypothesis, null, and alternative hypotheses are introduced. One-tail and two-tail tests are explained. Errors in hypothesis testing are mentioned. A standard procedure for testing of hypotheses is set. Examples are provided for testing of various types of hypotheses. A standard procedure is set for testing of population means and proportions in many situations. The technique for drawing conclusions at the end of the test is illustrated through examples. The drawing of conclusions is the core of hypothesis testing. A highly useful and new chart called “Flow Chart for Hypothesis Testing” is provided. The technique of calculating power of hypothesis testing is illustrated with the help of examples.

Suggested Citation

  • Abdul Quader Miah, 2016. "Hypothesis Testing," Springer Books, in: Applied Statistics for Social and Management Sciences, edition 1, chapter 0, pages 127-170, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-0401-8_7
    DOI: 10.1007/978-981-10-0401-8_7
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