Explanation:

The standard normal curve is a bell-shaped curve that represents the distribution of values in a normal distribution with a mean of 0 and a standard deviation of 1.

The total area under the standard normal curve is equal to 1. This means that the probability of any event occurring in a normal distribution is always 1.

The standard normal curve is symmetric about the mean, which is 0. The curve approaches but never touches the horizontal axis as it extends to positive and negative infinity.

The area under the curve represents the probability of a value falling within a certain range. The area to the left of the mean represents the probability of a value being less than the mean, while the area to the right of the mean represents the probability of a value being greater than the mean.

The area between two values on the curve represents the probability of a value falling between those two values.

The standard normal curve is often used in statistical analysis to calculate probabilities and determine confidence intervals. It is an important tool for understanding the distribution of data in a normal distribution and for making predictions about future events.

Conclusion:

In conclusion, the total area under the standard normal curve is equal to 1. This represents the probability of any event occurring in a normal distribution. The standard normal curve is an important tool for understanding the distribution of data in a normal distribution and for making predictions about future events.