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Statistics and Research methods Wiskunde voor HMI Bijeenkomst 5

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t Test for Independent Means Between-subjects design (two experimental groups) Scores of two groups – Experimental group and control group Use differences between means Population 1: people in experimental group Population 2: people in control group Comparison distribution: distribution of differences between means, μ = 0, δ unknown, estimate from samples →S difference df = df 1 + df 2 with df 1 =N 1 – 1 ; df 2 = N 2 - 1

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Analysis of variance (ANOVA) Comparison of more than two groups – ANOVA used for two groups gives the same result as t-test for independent means F distribution (F table) F ratio = between-groups estimate of population variance / within-groups estimate of poputation variance df Between = Ngroups – 1 df Within = df 1 + df 2 + … + df Ngroups

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Other issues on paper CHI-square test Reliability of measures Factor analysis

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1 Inference About a Population Variance Sometimes we are interested in making inference about the variability of processes. Examples: –Investors use variance.

1 Inference About a Population Variance Sometimes we are interested in making inference about the variability of processes. Examples: –Investors use variance.

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