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week 5.2 IRM

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Questions and Answers

Which of the following is true about non-parametric tests?

Non-parametric tests have no assumptions.

Non-parametric tests are used when data is normally distributed.

Non-parametric tests are used when assumptions for parametric tests are violated. (correct)

Non-parametric tests have more statistical power than parametric tests.

What is the Spearman correlation coefficient used for?

Assessing the strength of a monotonic relationship between two variables. (correct)

Assessing the strength of a non-linear relationship between two variables.

Assessing the strength of a linear relationship between two variables.

Assessing the strength of a normal distribution between two variables.

What does it mean for a relationship between two variables to be monotonic?

The relationship is always linear.

The relationship is always positive.

The relationship is always negative.

The relationship consistently increases or decreases. (correct)

True or false: Non-parametric tests have more statistical power than parametric tests.

False Signup and view all the answers

True or false: The Spearman correlation coefficient works on the ranks of data, unlike the Pearson correlation.

True Signup and view all the answers

True or false: Monotonic relationship means that the pairs of data consistently increase or decrease when ordered.

True Signup and view all the answers

Match the following non-parametric tests and their descriptions:

Spearman correlation = Assesses strength of monotonic relationship between two variables, linear or non-linear Wilcoxon test = Non-parametric test for comparing two paired samples Non-parametric tests = Tests used when assumptions for parametric tests are violated Monotonic relationship = A relationship where pairs of data consistently increase or decrease when ordered Signup and view all the answers

Match the following symbols and their representations in Spearman correlation:

rho (ρ) = Spearman correlation coefficient rs = Also referred to as Spearman correlation coefficient p = Significance level of the statistical test n = Sample size Signup and view all the answers

Match the following assumptions and the tests they apply to:

At least one variable needs to be continuous = Spearman correlation The relationship between the two variables is monotonic = Spearman correlation Data is not normal = Non-parametric tests Most researchers aim to run parametric tests = Parametric tests Signup and view all the answers