3.3-2. If Z is N(0, 1), find c. P(-2.31 ≤ Z ≤ −0.65). e. P(Z < -1.26).

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Can you please help me witth this problem and the parts that come along with it because I don't understand it. Can you please label the parts and can you do it step by step so I can understand it better.

**Problem 3.3-2:** If \( Z \) is \( N(0, 1) \), find:

**c.** \( P(-2.31 \leq Z \leq -0.65) \).  
**e.** \( P(Z < -1.26) \).  
**g.** \( P(|Z| > 2) \).  

**Explanation:**  
The problem involves finding probabilities related to the standard normal distribution, denoted as \( N(0, 1) \), where the mean \( \mu = 0 \) and standard deviation \( \sigma = 1 \).

**c.** The probability of \( Z \) falling between two values, \(-2.31\) and \(-0.65\), is requested.

**e.** This part requires calculating the cumulative probability of \( Z \) being less than \(-1.26\).

**g.** Here, the objective is to find the probability that the absolute value of \( Z \) is greater than 2, i.e., the combined probability of \( Z < -2 \) and \( Z > 2 \).
Transcribed Image Text:**Problem 3.3-2:** If \( Z \) is \( N(0, 1) \), find: **c.** \( P(-2.31 \leq Z \leq -0.65) \). **e.** \( P(Z < -1.26) \). **g.** \( P(|Z| > 2) \). **Explanation:** The problem involves finding probabilities related to the standard normal distribution, denoted as \( N(0, 1) \), where the mean \( \mu = 0 \) and standard deviation \( \sigma = 1 \). **c.** The probability of \( Z \) falling between two values, \(-2.31\) and \(-0.65\), is requested. **e.** This part requires calculating the cumulative probability of \( Z \) being less than \(-1.26\). **g.** Here, the objective is to find the probability that the absolute value of \( Z \) is greater than 2, i.e., the combined probability of \( Z < -2 \) and \( Z > 2 \).
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