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Welcome to the Data Science Basics MCQs Page

Dive deep into the fascinating world of Data Science Basics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Science Basics, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Science Basics, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

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Check out the MCQs below to embark on an enriching journey through Data Science Basics. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Science Basics. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Science Basics MCQs | Page 8 of 8

Q71.
Which of the following approach should be used if you can’t fix the variable?
Discuss
Answer: (a).randomize it
Discuss
Answer: (a).Randomized studies are not used to identify causation
Q73.
Which of the following is a good way of performing experiments in data science?
Discuss
Answer: (d).All of the mentioned
Q74.
Which of the following is commonly referred to as ‘data fishing’?
Discuss
Answer: (d).None of the mentioned
Q75.
Which of the following data mining technique is used to uncover patterns in data?
Discuss
Answer: (d).Data Dredging
Q76.
If X predicts Y, it does mean X causes Y.
Discuss
Answer: (b).False
Q77.
Which of the following is one of the key data science skills?
Discuss
Answer: (d).All of the mentioned
Discuss
Answer: (b).Willing to find answers on their own
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