Find the value of the probability of the standard normal variable Z corresponding to the shaded area under the standard normal curve. (Round your answer to four decimal places. You may need to use the appropriate table in the Appendix of Tables to answer this question.) P(-1.35 < Z < 1.78) = -1.35 1.78

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**Finding the Probability of a Standard Normal Variable**

To determine the value of the probability of the standard normal variable \( Z \) that corresponds to the shaded area under the standard normal curve, use the following guidelines. This probability should be rounded to four decimal places. An appropriate table, such as the Appendix of Tables, may be needed for an accurate calculation.

**Problem Statement:**

Find \( P(-1.35 < Z < 1.78) \).

**Standard Normal Curve Explanation:**

The graph shown is a standard normal distribution curve, which is symmetric and bell-shaped. It displays two dashed vertical lines at \( Z = -1.35 \) and \( Z = 1.78 \), with the area between these lines shaded. This shaded region represents the probability of the standard normal variable \( Z \) falling between these two points.

**Additional Help:**

If you need further assistance to solve this problem, there is an option to click on "Read It" under the "Need Help?" section.
Transcribed Image Text:**Finding the Probability of a Standard Normal Variable** To determine the value of the probability of the standard normal variable \( Z \) that corresponds to the shaded area under the standard normal curve, use the following guidelines. This probability should be rounded to four decimal places. An appropriate table, such as the Appendix of Tables, may be needed for an accurate calculation. **Problem Statement:** Find \( P(-1.35 < Z < 1.78) \). **Standard Normal Curve Explanation:** The graph shown is a standard normal distribution curve, which is symmetric and bell-shaped. It displays two dashed vertical lines at \( Z = -1.35 \) and \( Z = 1.78 \), with the area between these lines shaded. This shaded region represents the probability of the standard normal variable \( Z \) falling between these two points. **Additional Help:** If you need further assistance to solve this problem, there is an option to click on "Read It" under the "Need Help?" section.
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