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Welcome to the Statistical Inference and Regression Models MCQs Page

Dive deep into the fascinating world of Statistical Inference and Regression Models with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Statistical Inference and Regression Models, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Statistical Inference and Regression Models, 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 Statistical Inference and Regression Models. 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 Statistical Inference and Regression Models. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Statistical Inference and Regression Models MCQs | Page 2 of 8

Discuss
Answer: (a).The sum of all of the possible values is 1
Q12.
Which of the following function is associated with a continuous random variable?
Discuss
Answer: (a).pdf
Q13.
Statistical inference is the process of drawing formal conclusions from data.
Discuss
Answer: (a).True
Q14.
The expected value or _______ of a random variable is the center of its distribution.
Discuss
Answer: (c).mean
Discuss
Answer: (d).None of the mentioned
Q16.
Which of the following of a random variable is a measure of spread?
Discuss
Answer: (a).variance
Q17.
The square root of the variance is called the ________ deviation.
Discuss
Answer: (d).standard
Discuss
Answer: (c).R cannot approximate quantiles for you for common distributions
Q19.
Which of the following inequality is useful for interpreting variances?
Discuss
Answer: (a).Chebyshev
Q20.
For continuous random variables, the CDF is the derivative of the PDF.
Discuss
Answer: (b).False
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