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