1. What is bivariate data analysis?
2. Explain the difference between correlation and causation.
3. How can scatter plots be used to visualize bivariate data?
4. What is the purpose of calculating the correlation coefficient in bivariate data analysis?
5. Define conditional probability and provide an example.
6. How can you determine independent events from dependent events in probability?
7. What is the difference between a theoretical probability and an empirical probability?
8. In a deck of cards, what is the probability of drawing a red card?
9. A survey reveals that 30% of people prefer chocolate ice cream. If a random sample of 100 people is selected, what is the probability that more than 25 people prefer chocolate ice cream?
10. How can probability distributions be used to analyze and interpret data?
Bivariate data analysis & probability unit test
1 answer
1 answer