Which option best describes a normal distribution?

Which option best describes a normal distribution?

• A. Uniform distribution.
• B. Skewed distribution.
• C. Bell-shaped curve.
• D. Bimodal distribution.

Answer: (C)

Recognizing a normal distribution comes from identifying a symmetric, unimodal bell-shaped curve. This shape shows most observations clustering around the center (the mean), with probabilities tapering smoothly toward both ends, and the mean, median, and mode all aligning. Many natural measurements approximate this form, and the curve’s spread is described by the standard deviation. In practice, about 68% of data lie within one standard deviation, about 95% within two, and about 99.7% within three. The other shapes don’t match this pattern: a uniform distribution is flat, a skewed distribution is not symmetric, and a bimodal distribution has two peaks.

Recognizing a normal distribution comes from identifying a symmetric, unimodal bell-shaped curve. This shape shows most observations clustering around the center (the mean), with probabilities tapering smoothly toward both ends, and the mean, median, and mode all aligning. Many natural measurements approximate this form, and the curve’s spread is described by the standard deviation. In practice, about 68% of data lie within one standard deviation, about 95% within two, and about 99.7% within three. The other shapes don’t match this pattern: a uniform distribution is flat, a skewed distribution is not symmetric, and a bimodal distribution has two peaks.