Normal Curve

The normal curve is also known as the bell curve or Gaussian distribution. It is a continuous probability distribution that is symmetrical and bell-shaped. The normal curve is widely used in statistics, as it describes the distribution of many natural phenomena such as IQ scores, height, weight, and blood pressure.

Symmetrical

The normal curve is symmetrical, which means that the left and right halves of the curve are mirror images of each other. The curve is also centered around its mean, which is the average value of the data. The mean, median, and mode of a normal distribution are all equal, which is a unique property of the normal curve.

Skewness

Skewness is a measure of the asymmetry of a distribution. If a distribution is positively skewed, the tail of the curve will be longer on the right side. In contrast, if a distribution is negatively skewed, the tail of the curve will be longer on the left side. However, the normal curve is not skewed. It is symmetrical, meaning that both tails of the curve are equal in length.

Conclusion

In conclusion, the normal curve is a symmetrical probability distribution that is widely used in statistics. It is not skewed, and both tails of the curve are equal in length. Therefore, the correct answer to this question is option 'C', which states that the normal curve is symmetrical.