A. U
B. Bell
C. V
D. None
Answer is = B
You are absolutely right! The appearance of a normal curve most closely resembles the shape of a:
B. Bell
The normal curve, also known as the Gaussian distribution, is a symmetrical bell-shaped curve that depicts the probability distribution of many continuous variables. Here’s why the other options are not as fitting:
- U-shaped curve: This has two peaks on opposite sides, unlike the single peak of a normal curve.
- V-shaped curve: This has a sharp downward slope on either side of a single valley, quite different from the smooth, gradual slopes of a normal curve.
- None: There isn’t another common shape that as accurately reflects the symmetrical, bell-shaped nature of a normal curve.
The term “bell curve” is widely used to describe the normal distribution because of its visual resemblance to a bell. The center of the curve represents the most frequent value (the mean), and the curve tapers off symmetrically on either side towards the tails, representing less frequent values