Transformations and Assumptions in Statistics

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10 Questions

Which of the following is NOT a common transformation used to deal with violations of assumptions in statistical analysis?

Absolute value

What test is used to test the homogeneity of variance assumption in statistical analysis?

Levene’s test

What is a general limitation of transformations in statistical analysis?

They are unpredictable

What is the main purpose of using transformations in statistical analysis?

To make the data follow a normal distribution

What is a limitation of using transformations in statistical analysis?

They can't be applied to variables with too much variation

Which statistical test is commonly used to measure the strength and direction of the linear relationship between two continuous/scale variables?

Pearson's correlation

Which aspect of a relationship does Pearson's correlation measure?

Both size/magnitude and direction

What type of variables can Pearson's correlation be used to measure the relationship between?

Continuous/scale variables only

What does statistical significance assess in the context of Pearson's correlation?

Whether the relationship is due to chance

What research question can Pearson's correlation help answer?

What is the nature of the relationship between years of schooling and job prestige?

Test your knowledge on transformations and assumptions in statistics with this quiz. Learn about common transformations such as logarithm, square root, and reciprocal, and how they can help deal with violations of assumptions. Explore graphs and normality tests to see if any transformations worked. Also, discover the importance of homogeneity of variance assumption and how it can be tested using Levene's test.

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