Question at position 1 The shape of the uniform probability distribution is:positively skewed.negatively skewed.bell-shaped.rectangular

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Question at position 1 The shape of the uniform probability distribution is:positively skewed.negatively skewed.bell-shaped.rectangular

BlackTom AI · Accepted Answer

The question asks about the shape of the uniform probability distribution and provides four options to evaluate.
Option 1: 'positively skewed.' A positively skewed distribution has a longer tail on the right side and a peak toward the left; this is not the characteristic shape of a uniform distribution, which has equal probability across its range.
Option 2: 'negatively skewed.' A negatively skewed distribution has a longer tail on the left side and a peak toward the right; again, this does not describe the uniform form where all outcomes are equally likely.
Option 3: 'bell-shaped.' A bell-shaped curve, or normal distribution, rises to a single central peak and tapers symmetrically; this is distinct from the flat, constant-probability appearance of a uniform distribution.
Option 4: 'rectangular.' A uniform distribution is defined by a constant probability density over its interval, which yields a rectangular (flat) shape when graphed; this matches the description of a uniform distribution.

Question at position 1 The shape of the uniform probability distribution is:positively skewed.negatively skewed.bell-shaped.rectangular

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