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Find the indicated probability using the standard normal distribution. \( P(-0.93
Ask by Riley Franklin. in the United States
Feb 18,2025

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Answer

\( P(-0.93 < z < 0) = 0.3238 \)

Solution

To find the probability \( P(-0.93 < z < 0) \) using the standard normal distribution, we can follow these steps: 1. **Find the cumulative probability for \( z = 0 \)**: The cumulative probability for \( z = 0 \) in the standard normal distribution is 0.5, since the mean of the standard normal distribution is 0. 2. **Find the cumulative probability for \( z = -0.93 \)**: We will look up the value of \( P(z < -0.93) \) in the standard normal table. 3. **Calculate the probability**: The probability \( P(-0.93 < z < 0) \) can be calculated as: \[ P(-0.93 < z < 0) = P(z < 0) - P(z < -0.93) \] Now, let's find \( P(z < -0.93) \) using the standard normal table. Looking up \( z = -0.93 \) in the standard normal table, we find that: \[ P(z < -0.93) \approx 0.1762 \] Now we can calculate the probability: \[ P(-0.93 < z < 0) = P(z < 0) - P(z < -0.93) = 0.5 - 0.1762 \] Calculating this gives: \[ P(-0.93 < z < 0) = 0.5 - 0.1762 = 0.3238 \] Thus, the final answer is: \[ P(-0.93 < z < 0) \approx 0.3238 \] So, rounding to four decimal places, we have: \[ P(-0.93 < z < 0) = 0.3238 \]

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The Deep Dive

To find the probability \( P(-0.93 < z < 0) \) using the standard normal distribution, you need to look up the corresponding probabilities in the standard normal table. First, find \( P(z < 0) \), which is 0.5, as the standard normal distribution is symmetric around zero. Next, look up \( P(z < -0.93) \), which is approximately 0.1762 (from the standard normal table). Now, subtract the two probabilities: \[ P(-0.93 < z < 0) = P(z < 0) - P(z < -0.93) = 0.5 - 0.1762 = 0.3238 \] Thus, \( P(-0.93 < z < 0) \) is approximately 0.3238 when rounded to four decimal places.

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