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# Statistics MCQ Questions And Answers

This section focuses on "Statistics" in Data Science. These Statistics Multiple Choice Questions (MCQ) should be practiced to improve the Data Science skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.

1. What is true about Statistics?

A. Statistics is used to process complex problems in the real world
B. Statistics is used to process simple problems in the virtual world
C. Statistics is used to process simple problems in the real world
D. None of the above

2. What is the main role of Statistical functions, principles, and algorithms?

A. to analyze raw data
B. build a Statistical Model
C. predict the result
D. All of the above

3. A variable may also be called a _______.

A. Data Set
B. Data Item
C. Data Value
D. Data variable

4. In how many ways, analysis of any event can be done?

A. 2
B. 3
C. 4
D. 5

5. Which Analysis is known as Non-Statistical Analysis?

A. Quantitative Analysis
B. Qualitative Analysis
C. Both A and B
D. None of the above

6. __________ Statistics makes inferences and predictions about a population based on a sample of data taken from the population in question.

A. Descriptive
B. Quantitative
C. Inferential
D. Qualitative

7. __________Statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables.

A. Descriptive
B. Quantitative
C. Inferential
D. Qualitative

8. The value most recurrent in the sample set is known as ________.

A. Mean
B. Median
C. Mode
D. Standard Deviation

9. Which language is commonly used with Statistics?

A. C
B. C++
C. Ruby
D. R

10. Result disproves the assumption is known as?

A. Null Hypothesis
B. Alternate Hypothesis
C. Immediate Hypothesis
D. All of the above

11. What does it mean to weave a literate statistical program?

A. Convert a program from S to python
B. Convert the program into a human readable document
C. Convert a program to decompress it
D. None Of the above

12. Which of the following is a goal of literate statistical programming?

A. Combine explanatory text and data analysis code in a single document
B. Ensure that data analysis documents are always exported in JPEG format
C. Require those data analysis summaries are always written in R
D. All of the above

13. Which of the following tool documentation language is supported by knitr?

A. RMarkdown
B. LaTeX
C. HTML
D. Android

14. Which of the following disadvantage does literate programming have?

A. Slow processing of documents
B. Code is not automatic
C. No logical order
D. All of the above

15. Point out the wrong statement.

A. A random variable is a numerical outcome of an experiment
B. Continuous random variable can take any value on the real line
C. There are three types of random variable
D. None of the above

16. Which of the following is also referred to as random variable?

A. stochast
B. eliette
C. aleatory
D. None Of the above

17. What is true about Statistics In R?

A. Statistics In R is open-source and freely available
B. Statistics In R is cross-platform compatible.
C. Statistics In R is a powerful scripting language
D. All of the above

18. It is the measure of variability, based on dividing a data set into quartiles.

A. Deviation
B. Standard Deviation
C. Range
D. Inter Quartile Range

19. Which of the following inequality is useful for interpreting variances?

A. Chebyshev
B. Stautaory
C. Testory
D. None Of the above

20. Chebyshev's inequality states that the probability of a "Six Sigma" event is less than __________.

A. 0.01
B. 0.02
C. 0.03
D. 0.04