Make a decision tree for using Pearson's correlation coefficient, Spearman's correlation coefficient, linear regression, and mutual information using the assumptions requirements we discussed in lecture Make a decision tree that includes the general types of NHST analysis comparing one group to a reference value, comparing two groups, comparing proportions, correlation, paired analysis, one factor ANOVA, and multi factor ANOVA Label each analysis with the statistic(s) we generally used to do that analysis Hint focus on the number and types of independent and dependent variables

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Question: Make a decision tree for using Pearson's correlation coefficient, Spearman's correlation coefficient, linear regression, and mutual information using the assumptions/requirements we discussed in lecture. Make

Make a decision tree for using Pearson's correlation coefficient, Spearman's correlation coefficient, linear regression, and mutual information using the assumptions/requirements we discussed in lecture.
Make a decision tree that includes the general types of NHST analysis:

comparing one group to a reference value, comparing two groups, comparing proportions, correlation, paired analysis, one-factor ANOVA, and multi-factor ANOVA. Label each analysis with the statistic(s) we generally used to do that analysis.Hint: focus on the number and types of independent and dependent variables!

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