12 Questions
True or false: Parametric data is the same as normal data.
True
True or false: Non-parametric data can be skewed or kurtotic.
True
True or false: Transformations of data are always suitable for psychological data.
False
True or false: The decision to run a non-parametric test is commonly made when there is a 'true' value, indicating that the participant understood task instructions but scored very low?
True
True or false: Removing a value and replacing it with the mean is a commonly used approach in psychological studies?
False
True or false: The Shapiro-Wilk test takes into account both skew and kurtosis of the data?
True
Which of the following is NOT a characteristic of normal data?
Skewed
What is the main reason for caring about normality in statistical models?
To ensure accurate estimates
When should a non-parametric test be used?
When the data is skewed or kurtotic
Which of the following is a common approach for handling outliers in big data sets?
Removing the value and leaving it as missing
What does the Shapiro-Wilk test measure?
Normality of the data
What does a p-value of 1 for the Shapiro-Wilk test indicate?
The data is perfectly normal
Test your knowledge on determining parametric and non-parametric data in research methods with this quiz. Learn about the characteristics of parametric data, how to identify it, and the differences between parametric and non-parametric tests. Professor Hannah Keage provides valuable insights in this quiz based on the BEHL 2005 and BEHL 2019 (UO) Introductory Research Methods lecture.
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