(a) Suppose Z be a standard normal rv. Find P(Z > 1.46 or - 1.46 > Z). (b) Suppose X has a normal distribution with pdf shown below. Estimate E (X) a from the plot. Briefly explain your reasoning. 012 0,10 0,06 004 -15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 4 -1

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**Problem 6:**

(a) Suppose \( Z \) is a standard normal random variable. Find \( P(Z > 1.46 \text{ or } -1.46 > Z) \).

(b) Suppose \( X \) has a normal distribution with the probability density function (pdf) shown below. Estimate \( E(X) \) and \( V(X) \) from the plot. Briefly explain your reasoning.

**Explanation of the Graph:**

- The graph depicts a normal distribution curve (bell-shaped) which is symmetric.
- The x-axis ranges from -15 to 5, and the y-axis ranges from 0.00 to 0.14.
- The peak of the curve occurs around \( x = -5 \), which indicates the mean of the distribution, \( E(X) \).
- The curve symmetrically falls off on both sides from the peak, which suggests the standard deviation and variance.
  
**Estimations:**

- **Mean \( E(X) \):** The mean is estimated to be around -5, as the peak of the bell curve is centered here.
  
- **Variance \( V(X) \):** The spread of the data can be estimated by noting the points where the curve begins to taper off significantly. This occurs approximately between \( x = -10 \) and \( x = 0 \), suggesting a moderate spread.
Transcribed Image Text:**Problem 6:** (a) Suppose \( Z \) is a standard normal random variable. Find \( P(Z > 1.46 \text{ or } -1.46 > Z) \). (b) Suppose \( X \) has a normal distribution with the probability density function (pdf) shown below. Estimate \( E(X) \) and \( V(X) \) from the plot. Briefly explain your reasoning. **Explanation of the Graph:** - The graph depicts a normal distribution curve (bell-shaped) which is symmetric. - The x-axis ranges from -15 to 5, and the y-axis ranges from 0.00 to 0.14. - The peak of the curve occurs around \( x = -5 \), which indicates the mean of the distribution, \( E(X) \). - The curve symmetrically falls off on both sides from the peak, which suggests the standard deviation and variance. **Estimations:** - **Mean \( E(X) \):** The mean is estimated to be around -5, as the peak of the bell curve is centered here. - **Variance \( V(X) \):** The spread of the data can be estimated by noting the points where the curve begins to taper off significantly. This occurs approximately between \( x = -10 \) and \( x = 0 \), suggesting a moderate spread.
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