Let X₁, X₂, and X3 represent the times necessary to perform three successive repair tasks at a certain service facility. Suppose they are independent, normal rv's with expected values #₁, #2, and and variances ₂², ₂2, and o3², respectively. (Round your answers to four decimal places.) USE SALT (a) If μ₁ = H₂ = H3 = 60 and ₁² = 6₂² = 63² = 18, calculate P(T≤ 198) and P(144 ≤ T ≤ 198). P(T ≤ 198) = P(144 ≤ T ≤ 198) = X (b) Using the μ's and ai's given in part (a), calculate both P(54 ≤X) and P(58 < X < 62). P(54 ≤ X) = X P(58 ≤ x ≤ 62) = (c) Using the μ's and oi's given in part (a), calculate P(-12 ≤ X₁-0.5X₂ - 0.5X3 ≤ 6). P(-12 ≤ X₁0.5X₂ - 0.5X3 ≤ 6) = Interpret the quantity P(-12 ≤ X₁ -0.5X₂ - 0.5X3 ≤ 6). The quantity represents the probability that the difference between X3 and the average of X₁ and X₂ is between -12 and 6. The quantity represents the probability that the difference between X3 and the sum of X₁ and X₂ is between -12 and 6. The quantity represents the probability that X₁, X₂, and X3 are all between -12 and 6. O The quantity represents the probability that the difference between X₁ and the average of X₂ and X3 is between -12 and 6. The quantity represents the probability that the difference between X₁ and the sum of X₂ and X3 is between -12 and 6. (d) If μ₁ = 50, H₂ = 60, H3 = 70, 0₁2 = 12, 0₂2 = 10, and 32 = 14, calculate P(X₁ + X₂ + X3 ≤ 192) and also P(X₁ + X₂ 2 2X3). P(X₁ + X₂ + X3 ≤ 192) =

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**Topic: Probability Calculations with Normal Distribution**

Let \( X_1, X_2, \) and \( X_3 \) represent the times necessary to perform three successive repair tasks at a certain service facility. Suppose these times are independent, normal random variables with expected values \( \mu_1, \mu_2, \) and \( \mu_3 \) and variances \( \sigma_1^2, \sigma_2^2, \) and \( \sigma_3^2 \) respectively. Round your answers to four decimal places.

### (a)
If \( \mu_1 = \mu_2 = \mu_3 = 60 \) and \( \sigma_1^2 = \sigma_2^2 = \sigma_3^2 = 18 \), calculate:
\[ P(T_o \le 198) \]
\[ P(144 \le T_o \le 198) \]
\[ P(144 \le T_o \le 198) = \]

### (b)
Using the \( \mu_i \)'s and \( \sigma_i \)'s given in part (a), calculate both:
\[ P(54 \le \bar{X}) \]
\[ P(58 \le \bar{X} \le 62) \]
\[ P(58 \le \bar{X} \le 62) = \]

### (c)
Using the \( \mu_i \)'s and \( \sigma_i \)'s given in part (a), calculate:
\[ P(-12 \le X_1 - 0.5X_2 - 0.5X_3 \le 6) \]
Interpret the quantity \( P(-12 \le X_1 - 0.5X_2 - 0.5X_3 \le 6) \):
- The quantity represents the probability that the difference between \( X_3 \) and the average of \( X_1 \) and \( X_2 \) is between -12 and 6.
- The quantity represents the probability that the difference between \( X_3 \) and the sum of \( X_1 \) and \( X_2 \) is between -12 and 6.
- The quantity represents the probability that \( X_1, X_2, \) and \( X_3 \) are all between
Transcribed Image Text:**Topic: Probability Calculations with Normal Distribution** Let \( X_1, X_2, \) and \( X_3 \) represent the times necessary to perform three successive repair tasks at a certain service facility. Suppose these times are independent, normal random variables with expected values \( \mu_1, \mu_2, \) and \( \mu_3 \) and variances \( \sigma_1^2, \sigma_2^2, \) and \( \sigma_3^2 \) respectively. Round your answers to four decimal places. ### (a) If \( \mu_1 = \mu_2 = \mu_3 = 60 \) and \( \sigma_1^2 = \sigma_2^2 = \sigma_3^2 = 18 \), calculate: \[ P(T_o \le 198) \] \[ P(144 \le T_o \le 198) \] \[ P(144 \le T_o \le 198) = \] ### (b) Using the \( \mu_i \)'s and \( \sigma_i \)'s given in part (a), calculate both: \[ P(54 \le \bar{X}) \] \[ P(58 \le \bar{X} \le 62) \] \[ P(58 \le \bar{X} \le 62) = \] ### (c) Using the \( \mu_i \)'s and \( \sigma_i \)'s given in part (a), calculate: \[ P(-12 \le X_1 - 0.5X_2 - 0.5X_3 \le 6) \] Interpret the quantity \( P(-12 \le X_1 - 0.5X_2 - 0.5X_3 \le 6) \): - The quantity represents the probability that the difference between \( X_3 \) and the average of \( X_1 \) and \( X_2 \) is between -12 and 6. - The quantity represents the probability that the difference between \( X_3 \) and the sum of \( X_1 \) and \( X_2 \) is between -12 and 6. - The quantity represents the probability that \( X_1, X_2, \) and \( X_3 \) are all between
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