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3) The masses, in kilograms, of cartons of sugar and cartons of flour have the distributions \( N\left(78.8,12.6^{2}\right) \) and \( N\left(62.0,10.0^{2}\right) \) respectively. a) The standard load for a certain crane is 8 cartons of sugar and 3 cartons of flour. The maximum load that can be carried safely by the crane is 900 kg . Stating a necessary assumption, find the percentage of standard loads that will exceed the maximum safe load. [5]

Ask by Allan Huff. in the Philippines
Jan 22,2025

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Answer

About 21% of standard loads will exceed the maximum safe load of 900 kg.

Solution

To determine the percentage of standard loads that exceed the maximum safe load of 900 kg, we'll follow these steps: ### **a) Assumptions and Calculations** **Assumption:** We assume that the masses of cartons of sugar (**S**) and flour (**F**) are **independent**. **Given Distributions:** - **Sugar (S):** \( S \sim N(78.8\, \text{kg}, 12.6^2\, \text{kg}^2) \) - **Flour (F):** \( F \sim N(62.0\, \text{kg}, 10.0^2\, \text{kg}^2) \) **Standard Load Composition:** - **8 cartons of sugar:** \( 8S \) - **3 cartons of flour:** \( 3F \) - **Total Load (T):** \( T = 8S + 3F \) ### **Step 1: Calculate the Mean of Total Load (T)** \[ \begin{align*} E[8S] &= 8 \times 78.8 = 630.4\, \text{kg} \\ E[3F] &= 3 \times 62.0 = 186.0\, \text{kg} \\ E[T] &= 630.4 + 186.0 = 816.4\, \text{kg} \end{align*} \] ### **Step 2: Calculate the Variance and Standard Deviation of Total Load (T)** Since **S** and **F** are independent: \[ \begin{align*} \text{Var}[8S] &= 8^2 \times 12.6^2 = 64 \times 158.76 = 10,160.64\, \text{kg}^2 \\ \text{Var}[3F] &= 3^2 \times 10.0^2 = 9 \times 100 = 900\, \text{kg}^2 \\ \text{Var}[T] &= 10,160.64 + 900 = 11,060.64\, \text{kg}^2 \\ \text{SD}[T] &= \sqrt{11,060.64} \approx 105.17\, \text{kg} \end{align*} \] ### **Step 3: Determine the Z-Score** We want to find the probability that \( T > 900 \) kg. \[ Z = \frac{900 - E[T]}{\text{SD}[T]} = \frac{900 - 816.4}{105.17} \approx \frac{83.6}{105.17} \approx 0.796 \] ### **Step 4: Find the Probability Corresponding to the Z-Score** Using standard normal distribution tables: \[ P(Z > 0.796) \approx 1 - \Phi(0.796) \approx 1 - 0.7869 = 0.2131 \] ### **Conclusion** **Approximately 21%** of standard loads will exceed the maximum safe load of 900 kg. **Final Answer:** Assuming carton weights are independent, about 21 % of standard loads will surpass 900 kg.

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To solve this problem, we first need to find the total mass of the standard load of the crane when loading 8 cartons of sugar and 3 cartons of flour. Let \( X \) be the total mass of the load: \[ X = 8Y + 3Z \] where \( Y \) is the mass of a carton of sugar and \( Z \) is the mass of a carton of flour. From the problem, we have: - \( Y \sim N(78.8, 12.6^2) \) - \( Z \sim N(62.0, 10.0^2) \) To find the mean and variance of \( X \): 1. **Mean of \( X \)**: \[ E(X) = 8E(Y) + 3E(Z) = 8(78.8) + 3(62.0) = 630.4 + 186.0 = 816.4 \text{ kg} \] 2. **Variance of \( X \)**: Since \( Y \) and \( Z \) are independent: \[ Var(X) = 8^2 Var(Y) + 3^2 Var(Z) = 64(12.6^2) + 9(10.0^2) = 64(158.76) + 9(100) = 10160.64 + 900 = 11060.64 \] Thus, the standard deviation \( \sigma_X \) is: \[ \sigma_X = \sqrt{11060.64} \approx 105.16 \text{ kg} \] Now we can express \( X \) as a normal distribution: \[ X \sim N(816.4, 105.16^2) \] Next, we want to find the percentage of standard loads that exceed a maximum load of 900 kg. We will calculate the z-score for \( X = 900 \): \[ z = \frac{X - \mu}{\sigma} = \frac{900 - 816.4}{105.16} \approx \frac{83.6}{105.16} \approx 0.796 \] Now we will look up this z-score in the standard normal distribution table or use a calculator to find the area to the right of \( z = 0.796 \). The area to the left of \( z = 0.796 \) is approximately 0.7852. Therefore, the area to the right, which represents the percentage of standard loads exceeding 900 kg, is: \[ 1 - 0.7852 = 0.2148 \] Multiplying by 100 to get a percentage gives us: \[ \text{Percentage exceeding 900 kg} \approx 21.48\% \] So, about **21.5%** of standard loads will exceed the maximum safe load of 900 kg. **Assumption**: We assume the weights of the sugar and flour cartons are independent.

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