Question
Which technique is most appropriate to handle skewed
numerical data in a dataset?Solution
Log transformation is effective for handling skewed numerical data, as it compresses large values and stretches smaller ones, reducing skewness and stabilizing variance. It ensures the data conforms to normality, which many statistical methods and machine learning algorithms assume. Transformations like square root or cube root are alternative options for specific distributions. Why Other Options Are Wrong : B) One-hot encoding is for categorical data, not numerical skewness. C) Normalization rescales data but doesn’t address skewness effectively. D) Replacing outliers addresses extreme values but doesn’t fix overall skewness. E) Removing skewed columns discards valuable information and reduces dataset size.
Which of the following is/are true at equilibrium in a perfect competition?
(1) MR = MC
(2) AC = MC = AR = MR
(3) MC is falling
Which of the following is NOT a model of e-governance as proposed by Prof. Dr. Arie Halachmi?
Which of the following applies to the physical linkage approach for the valuation of environmental benefits
Consider the following demand function of X for a commodity A
x= 10 + 0.10m/p
Money income (m) of X is Rs.120 and the price of A (p) is Rs...
Consider a Keynesian Cross Model with following features, Consumption Function: C= C0 + b (Y – T) Â
Tax Function: T = T0 + tY Â
I...
Which of the following statements is INCORRECT about the Finance Commission?
Which of the following defines ambient standards in an environmental policy
Which of the following is/are function(s) of a commercial bank?
(1) Accepting deposits
(2) Giving loans
(3) Payments and settlements
Which of the following statements are correct about trilemma in monetary policy
A. It is related to closed economy model.
B. It involves...
The marginal cost curve is__________.