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 0.25

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 0.25.

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=0.25.

The shaded area represents the probability.

Using table A-2, the area to the left of 0.25 is obtained from the table in the intersection cell with the row value 0.2 and the column value 0.05, which is obtained as 0.5987.

The probability that the bone density score is greater than 0.25 is computed as follows.

$$\begin{gathered} P\left(z>0.25\right)=1-P\left(z<0.25\right) \\ =1-0.5987 \\ =0.4013 \end{gathered}$$

Thus, the probability that the bone density score is greater than 0.25 is 0.4013.