MGEB12H3 Chapter Notes - Chapter 9: Null Hypothesis, Alternative Hypothesis, Statistical Parameter

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Hypothesis testing: can be used to determine whether a statement about the value of a population parameter should or should not be rejected. Usually set up to see if enough evidence can reject the null while to accept the alternative. Never actually prove the null or alternative based on statistics, only have enough evidence to support the null/alternative: however, there is always a chance of error, even with enough evidence. Null hypothesis: h0, is a tentative assumption about a population parameter. Easiest way to identify a null: = sign ie. more or equal, or, less or equal. Alternative hypothesis: ha, is the opposite of what is stated in the null hypothesis. Usually the research hypothesis should be expressed as the alternative hypothesis. Thus, if evidence is high to support the research hypothesis: null is rejected while alternative is accepted i. e. testing the validity of a claim.

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