# 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

View Answer

Ans : A

Explanation: Statistics is used to process complex problems in the real world so that Data Scientists and Analysts can look for meaningful trends and changes in Data.

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

View Answer

Ans : D

Explanation: Several Statistical functions, principles, and algorithms are implemented to analyze raw data, build a Statistical Model and infer or predict the result.

3. A variable may also be called a _______.

A. Data Set

B. Data Item

C. Data Value

D. Data variable

View Answer

Ans : B

Explanation: A Variable is any characteristics, number, or quantity that can be measured or counted. A variable may also be called a data item.

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

A. 2

B. 3

C. 4

D. 5

View Answer

Ans : A

Explanation: An analysis of any event can be done in one of two ways: Quantitative Analysis and Qualitative Analysis.

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

View Answer

Ans : B

Explanation: Qualitative or Non-Statistical Analysis gives generic information and uses text, sound and other forms of media to do so.

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

View Answer

Ans : C

Explanation: Inferential Statistics makes inferences and predictions about a population based on a sample of data taken from the population in question.

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

View Answer

Ans : A

Explanation: Descriptive Statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables.

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

A. Mean

B. Median

C. Mode

D. Standard Deviation

View Answer

Ans : C

Explanation: The value most recurrent in the sample set is known as Mode.

9. Which language is commonly used with Statistics?

A. C

B. C++

C. Ruby

D. R

View Answer

Ans : D

Explanation: R language is commonly used with Statistics

10. Result disproves the assumption is known as?

A. Null Hypothesis

B. Alternate Hypothesis

C. Immediate Hypothesis

D. All of the above

View Answer

Ans : B

Explanation: Alternate Hypothesis: Result disproves the assumption.

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

View Answer

Ans : B

Explanation: Literate Statistical Programming can be done with knitr.

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

View Answer

Ans : A

Explanation: Literate Statistical Practice is a programming methodology.

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

A. RMarkdown

B. LaTeX

C. HTML

D. Android

View Answer

Ans : A

Explanation: knitr is available on CRAN.

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

View Answer

Ans : A

Explanation: Code and text is in one place.

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

View Answer

Ans : C

Explanation: There are two types of random variable-continuous and discrete.

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

A. stochast

B. eliette

C. aleatory

D. None Of the above

View Answer

Ans : C

Explanation: Random variable is also known as stochastic variable.

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

View Answer

Ans : D

Explanation: All is true regarding Statistics In R.

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

View Answer

Ans : D

Explanation: Inter Quartile Range (IQR): It is the measure of variability, based on dividing a data set into quartiles.

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

A. Chebyshev

B. Stautaory

C. Testory

D. None Of the above

View Answer

Ans : A

Explanation: Chebyshev's inequality is also spelled as Tchebysheff's inequality.

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

View Answer

Ans : C

Explanation: If a bell curve is assumed, the probability of a "six sigma" event is on the order of one ten millionth of a percent.

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