What is the effect of having small expected frequencies in a Chi-square test?
- It does not affect the test
- It increases the power of the test
- It invalidates the test
- It reduces the power of the test
In a Chi-square test, having small expected frequencies can reduce the power of the test and potentially lead to erroneous conclusions. This is because the Chi-square test is based on the assumption that the expected frequency of each category is at least 5.
Loading...
Related Quiz
- How can Bayes' theorem be applied to hypothesis testing?
- Non-parametric tests are also known as ________ tests because they make fewer assumptions about the data.
- A _______ is a range of values, derived from a sample, that is used to estimate an unknown population parameter.
- Can Pearson's Correlation Coefficient be used with non-linear relationships?
- When should you use the Spearman’s Rank Correlation test?