PSY 2811 Study Guide - Midterm Guide: Belmont Report, Good Luck!!, Counterfactual Thinking

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Discussion: how to read a research article 28. Discussion: the anatomy of a research article 29. Outlier and skewness: basic statistical tests rely on an assumption of normality: non-normal data should not be analyzed using these methods, reasons for violation of normality, small sample sizes, given outliers. Large sample size: n=50; mean= 20, transforming data, sometimes we can transform our data to allow more appropriate statistical tests, the distribution is asymmetric or, otherwise, considered statistically complicated. In order to use standard statistics, we can try to transform our data to approximate a normal distribution: skewed distributions, skewed distributions can sometimes be normalized, normalization is not changing what data is used. It is applying a formula to them, to better interpret the shape of the distribution: a skewed distribution may be able to suggest that the data are on a different scale, ex.