SAT exam scores are normally distributed with μ = 500 and σ = 100. Use your calculator to find the probability that a randomly chosen test taker will score between a 550 and 750. Use your calculator to find the percentage of test takers that will score at least a 675 on the SAT.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.