Statistics MCQs 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

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2. A variable may also be called a _______.

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

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

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

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4. __________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

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5. Which language is commonly used with Statistics?

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

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6. 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

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

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

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8. 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

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9. 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

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

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

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