Advanced Statistics and Probability MCQs Solution | TCS Fresco Play

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1. Multivariate data analysis helps us to__  -- both


2. What is multivariate statistics?  -- All options


3. Multivariate data analysis is application of__  -- All options


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


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


6. Independent variables refers to those variables__  -- which act as


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


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


9. Dependent variables refers to those variables__  -- variation is analyzed


10. Lurking variable remains__  --Hidden


11. Amalgamation paradox is also known as__  -- Simpson's


12. Principal component analysis reduces__  -- large no of corerelated


13. Least number of coordinates required to showcase a point is__  --dimesion


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


15. Stochastic variables are also known as__  -- random


16. Probability mass function is also known as__  -- Probability density


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


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


19. What is kernel?  -- All options


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


21. What is density estimation?  -- estimates  probability density function


22. What is Random walk?  -- we cannot predict


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


24. We use __ in histogram for sub intervals.  – bins


25. What is posterior probability? -- Conditional probabilty of the event after the evidence is taken into the consideration!


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



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