What is nominal data?
Data categorized into distinct groups without any order or quantitative value.
Parametric Requirements: Parametric tests like t-tests and ANOVA are often applicable to interval or ratio data due to their precision and underlying assumptions.
What is nominal data?
Data categorized into distinct groups without any order or quantitative value.
Give an example of nominal data.
Gender or eye colour.
What statistical test is commonly used with nominal data?
Chi-square test.
How is ordinal data characterized?
Data that can be ordered or ranked but with unknown or unequal intervals between ranks.
Provide an example of ordinal data.
Likert scale responses or race rankings.
Which statistical tests are used for ordinal data?
Non-parametric tests like Mann-Whitney U or Spearmanβs rho.
What distinguishes interval data?
Equal intervals between values but no true zero point.
Give an example of interval data.
Temperature in Celsius or IQ scores.
What statistical methods apply to interval data?
Parametric tests such as t-tests and ANOVA.
What defines ratio data?
Data with equal intervals and a meaningful absolute zero, allowing ratio comparisons.
Provide examples of ratio data.
Reaction time, height, weight.
Why are ratio data preferred in measurement?
Because of greater precision and the ability to interpret ratios.
Why are levels of measurement important?
They influence appropriate statistical methods and the accuracy of data interpretation.