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Statistics Glossary - Cornell College

Quantitative Reasoning Studio Statistics Glossary Symbols: alpha significance level; probability of a type I error beta probability of a type II error mu population mean nu degrees of freedom pi ratio of a circle s circumference to its diameter, rho Pearson product-moment population correlation coefficient sigma population standard deviation; standard error sigma summation df degrees of freedom E(X) expected value of X H 0 null hypothesis H A alternative hypothesis i interval size n number of observations in a sample PR percentile rank p probability of a success p(X) probability of event X Q semi-interquartile range q probability of a failure r Pearson product

Analysis of variance (ANOVA) A procedure for determining how much of the total variability among scores to attribute to a range of sources of variation and for testing hypotheses concerning some of the sources . Completely randomized design (CRD) A study in which the assignment of participants to treatment levels is

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EXPERT PROFICIENT APPRENTICE NOVICE

www.cornellcollege.edu

EXPERT PROFICIENT APPRENTICE NOVICE INTEGRATION OF KNOWLEDGE the writer’s own insights. The paper demonstrates that the author fully understands and has applied concepts learned in the course. Concepts are integrated into The writer provides concluding remarks that show analysis and synthesis of ideas. The paper demonstrates that

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Types of Statistical Tests - University of Phoenix

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Two-way ANOVA • Measures: • Dependent (continuous) • Independent (categorical, with 2+ levels within each) • When to use: There are three sets of hypothesis with a two -way ANOVA. H0 for each set is as follows: • The population means of the first factor are equal – equivalent to a one -way ANOVA for the row factor.

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• R2 measures the ability to predict an individual Y using its X(s) • Statistical significance of the overall model (Model F-test) • Recall that R is population correlation coefficient ... Analysis Example: ANOVA • The p-value for the overall model is 0.004. a a. a ...

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4. In a one-way ANOVA, identify the statistic used… a. as a measure of variation among the sample means. MSTr (or SSTr) is a statistic that measures the variation among the sample means for a one-way ANOVA. b. as a measure of variation within the samples. MSE (or SSE) is a statistic that measures the variation within the samples for a one-way ...

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