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Data Science and Machine Learning: Mathematical and Statistical Methods Quiz Questions and Answers

Answer :
  • 1,2 and 3

Explanation :

Larger k value means less bias towards overestimating the true expected error (as training folds will be closer to the total dataset) and higher running time (as you are getting closer to the limit case: Leave-One-Out CV). We also need to consider the var
Answer :
  • Can’t say

Explanation :

For all three options A, B and C, it is not necessary that if you increase the value of parameter the performance may increase. For example, if we have a very high value of depth of tree, the resulting tree may overfit the data, and would not generalize w
Answer :
  • 6

Explanation :

This first step is to find the median which is 5 since it is the middle number of the 11 number set. To find the 3rd quartile, you find the middle number of the set of numbers above the median. For this set those numbers would be {5,5,6,6,7}. The
Answer :
  • Acceptance Sampling

Explanation :

The box plot, the histogram, and the Stem-and-Leaf plot, all are used to illustrate variation among the product units. But, Acceptance sampling cannot be used to describe variation as; it is not a variation describing tool.
Answer :
  • 0

Explanation :

Since the normal curve is symmetric about its mean, its skewness is zero. This is a theoretical explanation for mathematical proofs, you can refer to books or websites that speak on the same in detail.
Answer :
  • 36

Explanation :

Order the data from least to greatest Find the median Calculate the median of both the lower and upper half of the data The IQR is the difference between the upper and lower medians
Answer :
  • Continuous Random Distribution

Explanation :

This is the rule on which Normal distribution is defined, no details on this as of why For more knowledge on this aspect, you can refer to any book or website which speaks on the same.
Answer :
  • B

Explanation :

Usually, if we increase the depth of tree it will cause overfitting. Learning rate is not an hyperparameter in random forest. Increase in the number of tree will cause under fitting.
Answer :
  • Two tailed

Explanation :

In two tailed test the Critical region is evenly distributed. One region contains the area where Null Hypothesis is accepted and another contains the area where it is rejected.