Standard Normal DistributionIn Exercises 17–36, assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed with a mean of 0 and a standard deviation of 1. In each case, draw a graph, then find the probability of the given bone density test scores. If using technology instead of Table A-2, round answers

to four decimal places.

Greater than -2.00.

The bone density test scores are normally distributed.

The mean score is $\mu =0$.

The standard deviation is$\sigma =1$.

The z-score is provided as -2.00.

Let x represent the bone density test score.

Asthe mean and standard deviation are0 and 1, respectively,x follows a standard normal distribution.

Steps to make a normal curve:

Step 1: Make a horizontal and a vertical axis.

Step 2: Mark the points -4, -2, 0, 2, and 4 on the horizontal axis and points 0.1, 0.2, 0.3, and 0.4 on the vertical axis.

Step 3: Provide titles to the horizontal and vertical axes as ‘z’ and ‘f(z)’, respectively.

Step 4: Shade the region right to z=-2.00.

The shaded area represents the probability.

Using table A-2, the area to the left of 2is obtained from the table in the intersection cell with the row value 2 and the column value 0, which is obtained as 0.9772.

The probability that the bone density score is greater than -2 is computed as follows.

$$\begin{gathered} P\left(z>-2.00\right)=P\left(z<2\right) \\ =0.9772 \end{gathered}$$

Thus, the probability that the bone density score is greater than -2 is 0.9772.