advance statistics & probability Fresco play

 Multivariate data analysis is application of__ All

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

Dependent variables refers to those variables__     variation is analysed

Independent variables refers to those variables__    Which acts as an input in the experiment.  *

Multivariate data analysis helps us to__    both

What is multivariate statistics?    All

What are the features of multivariate random variable?    Both options

Use of only one variable to describe the data is known as__   univariate data analysis

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

 

If the area under the PDF curve is zero, then__   Probability=0

Lurking variable remains__    hidden during analysis

Principal component analysis reduces__   large number of correlated variable

Probability mass function is also known as__   prob density function

Least number of coordinates required to showcase a point is__   dimension

What is done when a new data in the sub Interval is added?   1 bin added to top

Amalgamation paradox is also known as__   simpson’s paradox

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

Stochastic variables are also known as__   random variables

Final Quiz :  15/15

1. What are the features of multivariate random variable?   Both

2. What is box kernel density estimate? block in the histogram is centered over the data points

3. Features of probability density function are__      All

4. What is prior probability? Probability distribution done in lack of evidence.

5. In box kernel density estimation,__      histogram is centered over the data points

6. We use __ in histogram for sub intervals.  Bins

7. What is Kernel density estimation?  non - parametric density estimation

8. What is density estimation? Estimate probability density function

9. What is multivariate statistics?   All

10. What is parameter? Both

11. Stochastic variables are also known as__   random variable

12. What is Random walk?  we can not predict the outcome in advance

13. Use of only one variable to describe the data is known as__  univariate

14. Lurking variable remains__  hidden during analysis

15. Multivariate data analysis is application of__   all