Measurement and Statistics_Dasch_Date__030810

Measurement and Statistics_Dasch_Date__030810 - • i.e...

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Test Review- In class - Ch. 1 (select pages), Ch.2, Ch.3, Ch.4 - NO CALCULATORS One tailed test Directional hypothesis (i.e. students are happier on weekends) Have all 5% of possible error in one direction Because hypothesis is more conservative, can be more liberal with statistics Two tailed test Non-directional hypothesis (i.e. students have a change of mood on weekends) Because hypothesis is more liberal, must be more conservative with statistics 2.5% of error in each direction Type I error- say there is an effect when there actually isn’t Alpha level- probability of making a type I error (generally .05) Type II error- say there isn’t an effect when there actually is Beta level- probability of making a type II error (generally .2) mixed design graph- looking at between subjects and within subjects
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Unformatted text preview: • i.e. looking at happiness between males and females (between subjects) & on Monday versus Wednesday (within subjects) • between subjects – only gender (simple bar graph) • within subjects – hygiene over day 1, 2, 3 (bar graph for related means) ← ←- only need to know positive and negative kurtosis ← ← histogram – frequency ← box plot – median, IQR, max, min, outliers ← bar graph – means (can add confidence intervals – error bars) ← line graph – means (can add confidence intervals – error bars) • 95% confidence interval o says you are 95% certain the true mean of the population is in this range o +/- 1.96 ← scatterplots – relationships ← ←- every data point has its own z score ← ←...
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This note was uploaded on 08/30/2010 for the course PSYC 209 taught by Professor Hoffman during the Spring '08 term at University of Delaware.

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Measurement and Statistics_Dasch_Date__030810 - • i.e...

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