Advanced Probability Quiz

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1. Multivariate data analysis helps us to__  
Answer: both

2. What is multivariate statistics?  
Answer: All options

3. Multivariate data analysis is application of__
Answer: All options

4. Use of only one variable to describe the data is known as__
Answer: Uni

5. What are the features of multivariate random variable?
Answer: both

6. Independent variables refers to those variables__  
Answer: which act as

7. __ is an example of Multivariate analysis in which relationship exist between a dependent variable and independent variable/s.
Answer: partial least

8. Pattern such as group or trend in the data table can not be studied using Multivariate data analysis.
Answer: Incorrect

9. Dependent variables refer to those variables__  
Answer: variation is analyzed

10. Lurking variable remains__
Answer: Hidden

11. Amalgamation paradox is also known as__  
Answer: Simpson's

12. Principal component analysis reduces__  
Answer: large no of correlated

13. Least number of coordinates required to showcase a point is__
Answer: dimension

14. What is done when a new data in the sub Interval is added?
Answer: one bin added

15. Stochastic variables are also known as__
Answer: random

16. Probability mass function is also known as__  
Answer: Probability density

17. What is the drawback of using Kernel density estimation's Histogram method?  
Answer: plot is not smooth

18. If the area under the PDF curve is zero, then__
Answer: probability=0

19. What is kernel?  
Answer: All options

20. In box kernel density estimation,__  
Answer: centered over data points

21. What is density estimation?  
Answer: estimates  probability density function

22. What is a Random walk?  
Answer: we cannot predict

23. What is prior probability?  
Answer: done in lack of evidence

24. We use __ in histogram for sub intervals.  
Answer: bins

25. What is posterior probability?
Answer: Conditional probability of the event after the evidence is taken into the consideration

26. If time space or state space is discrete,__
Answer: Markov process can be termed as discrete-time Markov chains