PSY 2811 Lecture 1: PSY2811_Discussion10
30 Jul 2018
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Discussion 9 (qrps: describe what a p-value means, describe the difference between type ii and type i, describe qrps, contrast qrps with fabricated data. Goal of statistical analysis: determine likelihood that difference between distribution are meaningful. Output of much statistical analysis is a probability that the differences are real. Assume there is no real effect, the true population has no effect. Sample of population is not going to be identical to the population. Data variability: some chance we can find things by random chance. P-values computed based in measurements of variability under spread of data, which means less confidence in effects. Type i: say the effect when nonexists in the real population. Type ii: say no effect exist, when on is there. Require stronger likelihood of effect (lower p-value): less likely to commit type i error, more likely to commit type ii error.
