Using and Interpreting Concepts
Finding Area In Exercises 17–22, find the area of the shaded region under the standard normal curve. If convenient, use technology to find the area.

Verified step by step guidance

1. Step 1: Understand the problem. The goal is to find the area of the shaded region under the standard normal curve. The shaded region represents the cumulative probability from z = -∞ to z = 0.6.
2. Step 2: Recall that the standard normal curve is symmetric about z = 0, and the total area under the curve is 1. The area to the left of z = 0.6 can be found using the cumulative distribution function (CDF) of the standard normal distribution.
3. Step 3: Use the z-score table or technology (such as a graphing calculator or statistical software) to find the cumulative probability corresponding to z = 0.6. This value represents the area under the curve to the left of z = 0.6.
4. Step 4: If using a z-score table, locate the row corresponding to z = 0.6. The table will provide the cumulative probability for this z-score. If using technology, input the z-score into the software's standard normal CDF function.
5. Step 5: Interpret the result. The cumulative probability obtained represents the proportion of the distribution that lies to the left of z = 0.6, which is the area of the shaded region.

Key Concepts

Standard Normal Distribution

The standard normal distribution is a special case of the normal distribution where the mean is 0 and the standard deviation is 1. It is represented by the bell-shaped curve, and all values are expressed in terms of z-scores, which indicate how many standard deviations an element is from the mean. This distribution is crucial for statistical analysis, particularly in hypothesis testing and confidence intervals.

Z-Score

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 position of a data point within a standard normal distribution, allowing for the comparison of scores from different distributions.

Area Under the Curve

In the context of the normal distribution, the area under the curve represents the probability of a random variable falling within a particular range. The total area under the curve is equal to 1, and specific areas can be calculated using z-scores and standard normal distribution tables or technology. This concept is fundamental for understanding probabilities and making inferences about populations based on sample data.