5.25 Voltage sags and swells. Refer to the Electrical Engineering (Vol. 95, 2013) study of the power quality (sags and swells) of a transformer, Exercise 2.76 (p. 85). For transformers built for heavy industry, the distribution of the number of sags per week has a mean of 353 with a standard deviation of 30. Of interest is, the sample mean number of sags per week for a random sample of 45 transformers. a. Find E(7) and interpret its value. b. Find Var(F). c. Describe the shape of the sampling distribution of . d. How likely is it to observe a sample mean number of sags per week that exceeds 400?

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Please only do parts c and d

**5.25 Voltage Sags and Swells**

*Refer to the Electrical Engineering (Vol. 95, 2013) study of the power quality (sags and swells) of a transformer, Exercise 2.76 (p. 85). For transformers built for heavy industry, the distribution of the number of sags per week has a mean of 353 with a standard deviation of 30. Of interest is \( \bar{x} \), the sample mean number of sags per week for a random sample of 45 transformers.*

a. **Find \( E(\bar{x}) \) and interpret its value.**

b. **Find \( \text{Var}(\bar{x}) \).**

c. **Describe the shape of the sampling distribution of \( \bar{x} \).**

d. **How likely is it to observe a sample mean number of sags per week that exceeds 400?**
Transcribed Image Text:**5.25 Voltage Sags and Swells** *Refer to the Electrical Engineering (Vol. 95, 2013) study of the power quality (sags and swells) of a transformer, Exercise 2.76 (p. 85). For transformers built for heavy industry, the distribution of the number of sags per week has a mean of 353 with a standard deviation of 30. Of interest is \( \bar{x} \), the sample mean number of sags per week for a random sample of 45 transformers.* a. **Find \( E(\bar{x}) \) and interpret its value.** b. **Find \( \text{Var}(\bar{x}) \).** c. **Describe the shape of the sampling distribution of \( \bar{x} \).** d. **How likely is it to observe a sample mean number of sags per week that exceeds 400?**
Expert Solution
Step 1

For the given distribution of no. of sags per week, it is given that, the mean of the distribution at the population level is 353, i.e., μ=353. And the standard deviation of the distribution at the population level is 30, i.e., σ=30.

 

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