Step 1: Determine whether an outlier exists. It mainly tests the null hypothesis. There are a number of different t -tests, the most common being single sample t -test, independent t -test and dependent t -test. We’ll discuss how we identify an outlier in relation to the study’s goals and the kind of data collected, and what to do with an outlier once … Although not all the machine learning models are sensitive to outliers. Keep in mind the following when reporting Pearson’s r in APA format: … Identifying and Addressing Outliers - SAGE Publications Inc Step 6: Use your fences to highlight any outliers Go back to your sorted dataset from Step 1 and highlight any values that are greater than the upper fence or less than your lower … Without preregistration of the analytic plan or the use Robust Regression | SAS Data Analysis Examples Outliers in ANOVA | Real Statistics Using Excel These techniques reduce the impact of outliers, including making it so they don’t violate the assumptions. Another thing to consider is comparing the results with and without the outliers and understanding how it changes the outcomes. If the results are the same then you can report the analysis on the full data and report that the outliers did not influence the results. One Way gives a significant result. Interpret the key results for Outlier Test How to Find Outliers | 4 Ways with Examples & Explanation Refer to our handout “Writing an APA Empirical (lab) Report” for details on writing a results section. There [was or was not] a significant relationship between the two variables, X2(df, N) = [X2 value], p = [p-value]. … report An ANOVA is reported as follows: F (2, 46) = 3.85, p < .05.
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