STAB22H3 Chapter Notes -Type I And Type Ii Errors, Null Hypothesis, Statistic
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STAB22H3 Full Course Notes
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Chapter 21 - more about tests (hypothesis tests) Link p-value to decision to h0, and state conclusion in context. If h0 was true, wouldn"t see prop this low, so reject h0. Strong evidence of decline in helmet use. P-value = probab. that statistic observed is as far, or even farther from hypo val, given that h0 is true. P(we observe 50. 7% or less | p = 0. 60) When p-value small, h0 is rejected, but doesn"t prove it is false. If p-value v. large, just means that what is observed was v. consistent w/ h0. P-value has to fall b4 deciding h0. Setting alpha level of the test (aka significance level of the test) Common alpha levels - 0. 05, 0. 01, 0. 001. P-values below are said to be signif. Meant to indicate relative strength against h0. Null hypothesis null hypothesis (h0) is true (h0) is false. Type i error => reject h0 when it is true.
