How does the choice of significance level (α) affect the conclusion of a Chi-square test for goodness of fit?
- A higher α makes it easier to reject the null hypothesis
- A higher α makes it harder to reject the null hypothesis
- α has no impact on the conclusion of the test
- α only affects the power of the test, not the conclusion
A higher significance level (α) increases the likelihood of rejecting the null hypothesis. This is because you're setting a higher bar for the amount of evidence needed to retain the null hypothesis.
Loading...
Related Quiz
- What are the potential disadvantages of using non-parametric statistical methods?
- A __________ is a subset of a population that is used to represent the entire group as a whole.
- The probability of an event A, given that another event B has occurred, is called the ________ probability of A given B.
- What is the purpose of a scatter plot?
- What is the F statistic in an ANOVA analysis, and what does it represent?