In Exercises 7–18, find the indicated area under the standard normal curve. If convenient, use technology to find the area.


To the left of z = -1.5 and to the right of z = 1.5

Verified step by step guidance

1. Step 1: Understand the problem. You are tasked with finding the area under the standard normal curve in two regions: (1) to the left of z = -1.5 and (2) to the right of z = 1.5. The standard normal curve is symmetric, with a mean of 0 and a standard deviation of 1.
2. Step 2: Recall that the total area under the standard normal curve is 1. The area to the left of a z-score can be found using a z-table, statistical software, or a calculator with normal distribution functions.
3. Step 3: Use a z-table or technology to find the cumulative probability (area) to the left of z = -1.5. This value represents the proportion of the distribution that lies to the left of z = -1.5.
4. Step 4: Similarly, use a z-table or technology to find the cumulative probability to the left of z = 1.5. To find the area to the right of z = 1.5, subtract the cumulative probability to the left of z = 1.5 from 1. This is because the total area under the curve is 1.
5. Step 5: Add the two areas together: the area to the left of z = -1.5 and the area to the right of z = 1.5. This sum represents the total area under the curve in the specified regions.

Key Concepts

Standard Normal Distribution

The standard normal distribution is a special normal distribution with a mean of 0 and a standard deviation of 1. It is represented by the z-score, which indicates how many standard deviations an element is from the mean. This distribution is crucial for calculating probabilities and areas under the curve, as it allows for the standardization of different normal distributions.

Z-scores

A z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. It is calculated by subtracting the mean from the value and then dividing by the standard deviation. Z-scores are essential for determining the area under the standard normal curve, as they allow us to find probabilities associated with specific values in the distribution.

Area Under the Curve

The area under the curve (AUC) in a probability distribution represents the likelihood of a random variable falling within a particular range. For the standard normal distribution, this area can be found using z-scores and standard normal distribution tables or technology. In the context of the question, finding the area to the left of z = -1.5 and to the right of z = 1.5 involves calculating the cumulative probabilities for these z-scores.