



What happens if the assumptions of these tests are violated?
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what is interval data
- Explain the concept of statistical modeling and how interval data is used in building and testing models.
- How can the performance of statistical models using interval data be evaluated and compared?
- When would you consider using a Mann-Whitney U test instead of an independent samples t-test?
- Describe a scenario where a statistically significant difference in interval data might not be considered practically significant due to a small effect size.
- What are the assumptions of Pearson's correlation?
- How do you interpret effect sizes?
- What are some common data transformations that can be applied to interval data to address issues like skewness?
- What is the power of a statistical test with interval data?
- Why are ratios of interval data points not meaningful reflections of proportional differences?
- How can interval data be used in market research to understand consumer preferences and attitudes?
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