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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 3 of 8

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Q21.
Chebyshev’s inequality states that the probability of a β€œSix Sigma” event is less than ___________
Discuss
Answer: (d).3%
Q22.
Which of the following random variables are the default model for random samples?
Discuss
Answer: (a).iid
Q23.
Cumulative distribution functions are used to specify the distribution of multivariate random variables.
Discuss
Answer: (a).True
Discuss
Answer: (d).All of the mentioned
Q25.
Which of the following is incorrect with respect to use of Poisson distribution?
Discuss
Answer: (b).Modeling bounded count data
Q26.
__________ random variables are used to model rates.
Discuss
Answer: (c).Poisson
Discuss
Answer: (a).The normal distribution is asymmetric and peaked about its mode
Q28.
Which of the following form the basis for frequency interpretation of probabilities?
Discuss
Answer: (a).Asymptotics
Q29.
Bernoulli random variables take (only) the values 1 and 0.
Discuss
Answer: (a).True
Q30.
The _________ basically states that the sample mean is consistent.
Discuss
Answer: (b).LLN
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