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 When should you catagorize data? After you have collected and examined them. t-Test -definition- A bivariate analysis that examines the differences between the 2 groups by looking at their means while weighing the sampling error t-Test -calculation- Calculation: Group 1 Mean - Group 2 Mean ---------------------------- Standard error of the difference Degrees of Freedom -definition- A numerical way of expressing how much capacity the data have to vary Independent-samples t-Test -definition- A t-Test used when 2 group are not connected or related to each other in a direct way Correlated-samples t-Test is also known as.... Paired-Samples t-Test Correlated-Samples t-Test -definition- Compares measurements taken at 2 different points in time from a single group of clients to determine if there is a real difference Correlated-Samples t-Test is used when measuring... 1)Same group measured 2* 2)Samples are known logically 3)Used to construct a 2nd group that closely resembles the 1st 4)Differences btw. biological twins 5) Pretest Posttest Comparisons of 1 group One-Sample t-Test -defintion- Used to determine if a randomly drawn sample is representative of the population One-Sample t-Test is used when... The population parameters are already known ANOVA stands for... One-way Analysis of Variance ANOVA -definition- Statistical procedure used when with an interval dependent variable and 2+ groups ANOVA is based on... The variance within groups and between groups ANOVA allows the researcher to... Understand if the groups signficantly vary 4 Questions a researcher should consider with ANOVA 1)Is data measured at interval and are they a random sample of larger populations? 2)Are the groups independent of each other? 3) Are the data normally distributed? 4) Is there approximately the same # of cases in each group? ANOVA df will equal... The number of subjects minus 1 Post Hoc Tests is used when... Used with multiple groups beinig compared and F is signficant Post Hoc Tests are done when the researcher is investigating... What contributed to the finding of signficance Bonferroni Procedure -definition- Reduces the problem of finding signficance by dividing the .05 probablity level by the number of statistical tests to be conducted The Post Hoc procedures minimize what? Type 1 Error When should you catagorize data? After you have collected and examined them. Paired t-Test are used when you have... A single (1) group is measured mutliple times If you have Pre-test, Intervention, and Post-test you use what t-Test? Paired t-Test Independent t-Test is used when you have... 2 groups NOT connected in a direct way Assumptions of T-Tests: 1) Dependent variable is continuous 2) Normal distribution 3) Large sample to be accurate sample size - minimum