KIN222 Lecture Notes - Lecture 9: Type I And Type Ii Errors, Repeated Measures Design, Null Hypothesis

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Most common inferential statistical procedure used in experiments. Keeps error equal to type i error rate. When is it used: when comparing more than 2 sample means. Types of anova"s: one way (factor) o(cid:374)e i(cid:374)depe(cid:374)de(cid:374)t varia(cid:271)le (cid:894)>2 levels(cid:895) . differe(cid:374)t parti(cid:272)ipa(cid:374)ts i(cid:374) ea(cid:272)h group, one way (factor) with repeated measures one independent variable (>2 levels(cid:895) sa(cid:373)e person measured more than twice. Theory of anova: considers 2 sources of variance: within group variance. An individual value is compared to group mean. Due to: individual differences: measurement error, between group variance. Mean of each group compared to mean of all groups. Due to: sampling error (within group variability) group is from different population (treatment caused change) Examine five levels of exercise on blood pressure change. Can we use multiple t-tests: requires 10 separate analyses, inflates, increases potential for type i error. Examine five levels of exercise on resting blood pressure. Divide msbetween by mswithin significance occurs when:

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