What are the assumptions of statistical tests?
Statistical tests often rely on certain assumptions to produce valid results. Common assumptions include normality, independence, and homogeneity of variance.
Can you explain the normality assumption?
The normality assumption states that the data should be approximately normally distributed, especially for parametric tests.
What if my data doesn't meet the normality assumption?
If your data doesn't meet the normality assumption, you might consider using non-parametric tests or transforming your data.
What are some examples of non-parametric tests?
Examples of non-parametric tests include the Mann-Whitney U test, Kruskal-Wallis test, and Wilcoxon signed-rank test.
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free