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Evidence Based Medicine
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Jared Cheatham
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Linear Regression predict scores on one variable from second variable Linear Regression predicting variable is criterion variable Linear Regression predicting variable is referred to as Y Linear Regression base variable is predictor variable Linear Regression base variable is referred to as X Linear Regression types simple regression - single independent variable Linear Regression types multiple regression – two or more independent variable Linear Regression consists of finding best-fitt
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‘t’ test is used in hypothesis testing ‘t’ test is one of the most frequently used procedures in statistics ‘t’ test is a measure of how extreme a statistical estimate is ‘t’ test compares the means of two groups ‘t’ test is used when the variances of two normal distributions are unknown ‘t’ test is used when an experiment uses a small sample size ‘t’ test was introduced in 1908 by William Sealy Gosset ‘t’ test may be two side (Two tailed) ‘t’ test may be one side (One tailed) ‘t’ tes
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Standard Error is SD of sampling distribution of a statistic Standard Error is important as it is used to compute confidence intervals Standard Error is important as it is used to compute margins of error Standard Error is computed solely from sample attributes Standard Error is a measure of variability Standard Error is proportional inversely to the sample size Standard Error indicates how accurate estimate is likely to be Standard Error can be estimated by sample size Standard Error c
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One tailed tests and two tail test. This graphical representation shows an…
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STAT 3615: Biological Statistics good applets and very comprehensive stat outline
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"Type I" and "Type II" errors, names first given by Jerzy Neyman and Egon Pearson to describe rejecting a null hypothesis when it's true and accepting one when it's not, are too vague for stat newc...
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Cohort Study Outline. The general structure behind developing a cohort study to observe patients over time.