Data Science Questions and Answers – ToolBox Overview

This set of Data Science Multiple Choice Questions & Answers (MCQs) focuses on “ToolBox Overview”.

1. Which of the following principle is incorrectly represented in the below figure?
Principles of Analytical graphs are sequentially shown in the stepwise manner
a) Show Comparisons
b) Integrate Evidence
c) Describe Evidence
d) None of the mentioned
View Answer

Answer: d
Explanation: Principles of Analytical graphs are sequentially shown in the stepwise manner.

2. Point out the correct statement.
a) Least square is an estimation tool
b) Least square problems falls in to three categories
c) Compound least square is one of the category of least square
d) None of the mentioned
View Answer

Answer: a
Explanation: The Method of Least Squares is a procedure to determine the best fit line to data.

3. How many principles of analytical graphs exist?
a) 3
b) 4
c) 6
d) None of the mentioned
View Answer

Answer: c
Explanation: Six Principles of Analytical Graphs are useful for data analysis.

4. Which of the following is not a step in data analysis?
a) Obtain the data
b) Clean the data
c) EDA
d) None of the mentioned
View Answer

Answer: d
Explanation: EDA stands for Exploratory Data Analysis.

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5. Point out the wrong statement.
a) Simple linear regression is equipped to handle more than one predictor
b) Compound linear regression is not equipped to handle more than one predictor
c) Linear regression consists of finding the best-fitting straight line through the points
d) All of the mentioned
View Answer

Answer: a
Explanation: Simple linear regression is equipped to handle more than one predictor.

6. Which of the following technique comes under practical machine learning?
a) Bagging
b) Boosting
c) Forecasting
d) None of the mentioned
View Answer

Answer: b
Explanation: Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor.

7. Data Products shown in the below figure is built using which programming language?
Products mentioned in the figure are web application frameworks written in R
a) S
b) Python
c) R
d) Java
View Answer

Answer: c
Explanation: Products mentioned in the figure are web application frameworks written in R.

8. Which of the following technique is also referred to as Bagging?
a) Bootstrap aggregating
b) Bootstrap subsetting
c) Bootstrap predicting
d) All of the mentioned
View Answer

Answer: a
Explanation: Bagging is used in statistical classification and regression.

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9. Which of the following is characteristic of Raw Data?
a) Data is ready for analysis
b) Original version of data
c) Easy to use for data analysis
d) None of the mentioned
View Answer

Answer: b
Explanation: Raw data is data that has not been processed for use.

10. Standard normal RVs are always labelled as Z.
a) True
b) False
View Answer

Answer: b
Explanation: Standard normal RVs are often labelled as Z.

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Sanfoundry Global Education & Learning Series – Data Science.

Here’s the list of Best Books in Data Science.

If you find a mistake in question / option / answer, kindly take a screenshot and email to [email protected]

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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