**Core Concept**
The normal curve, also known as the Gaussian distribution or bell curve, is a probability distribution that describes how data points are clustered around a mean value, with most data points falling within a narrow range and fewer data points at the extremes.

**Why the Correct Answer is Right**
The normal curve is characterized by a symmetrical, bell-shaped distribution with a mean (μ) and standard deviation (σ). The majority of the data points lie within 1-2 standard deviations of the mean, with the probability of data points decreasing as they move further away from the mean. This distribution is often used in statistics and research to describe the distribution of continuous data.

**Why Each Wrong Option is Incorrect**
**Option A:**
This is not a characteristic of the normal curve, as it does not describe the distribution of data points.

**Option B:**
This option is incorrect because the normal curve is not always skewed, but rather symmetrical around the mean.

**Option C:**
This option is incorrect because the normal curve does not have a fixed upper or lower limit, but rather tails off gradually as data points move further away from the mean.

**Clinical Pearl / High-Yield Fact**
In statistics, the 68-95-99.7 rule states that about 68% of data points lie within 1 standard deviation of the mean, about 95% lie within 2 standard deviations, and about 99.7% lie within 3 standard deviations.

**Correct Answer:** B.