Hello friends in this post we are going to discuss Advanced statistic and probability MCQ | Advanced statistic and probability Objective type question answer | Advanced statistic and probability Objective type question answer | Advanced statistic and probability TCS Fresco play dumps | Advanced statistic and probability TCS Answers
Q1.Application layer is responsible for ________
Answer : Applying business logic for a given requirement
Q2.What are the features of multivariate random variable?
Answer : Both the options
Q3.________ is an example of Multivariate analysis in which relationship exists between a dependent variable and independent variable/variables
Answer : Partial Least Squares Regression
Q4.Probability mass function is also known as ______
Answer : Probability density function
Q5.Multivariate data analysis is an application of _________
Answer : All the options
Q6.What are the characteristics of Markov process?
Answer : Both the options
Q7.What is data analysis?
Answer : All the options
Q8.If the area under the PDF curve is zero, then ________
Answer : probability = 0
Q9.Least number of coordinates required to showcase a point is ________
Answer : Dimension
Q10.Use of only one variable to describe the data is known as __
Answer : Univariate data analysis
Q11.What is estimation?
Answer : Both of these
Q12.What is prior probability?
Answer : Probability distribution done with a lack of evidence.
Q13.Principal component analysis reduces __.
Answer : Large number of correlated variables
Q14.What is box kernel density estimate?
Answer : Block in the histogram is centered over the data points
Q15.Stochastic variables are also known as __.
Answer : Random variables
Q16.What is Random walk?
Answer : We cannot predict the outcome in advance.
Q17.What are kernels?
Answer : All
Q18.What is density estimation?
Answer : It estimates probability density function.
Q19.If time space or state space is discrete, ______
Answer : Markov process can be termed as discrete-time Markov chains
Q20.What is Kernel density estimation?
Answer : It is the implementation of non – parametric density estimation.
Q21.In box kernel density estimation, _____
Answer : The histogram is centered over the data points.
Q22.Lurking variable remains _______
Answer : Hidden during the analysis
Q23.What is posterior probability?
Answer : Conditional probability of the event after the evidence is taken into the consideration!
Q24.We use ________ in histogram for sub intervals.
Answer : bins
Q25.What is the drawback of using Kernel density estimation’s Histogram method?
Answer : plot is not smooth
Q26.What is done when a new data in the sub Interval is added?
Answer : one bin added
Q27.Amalgamation paradox is also known as________.
Answer : Simpson’s
Q28.Pattern such as group or trend in the data table can not be studied using Multivariate data analysis.
Answer : Incorrect
Q29.What is multivariate statistics?
Answer : All options
Q30.Multivariate data analysis is application of_____.
Answer : All options