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farmer noticed that some of the eggs laid by his hens had double yolks. He stimated the probability of this happening to be 0.05 . Eggs are packed in boxes of 12 . Find the probability that in a box, the number of eggs with double yolks will be exactly one. A customer bought three boxes. Find the probability that only 2 of the boxes contained exactly 1 egg with double yolk. The farmer delivered 10 boxes to a local shop. Using a suitable approximation, find the probability that the delivery contained at least 9 eggs with double yolks. (6 marks) The weight of an individual egg can be modelled by a normal distribution with mean 65 g and standard deviation 2.4 g . Find the probability that a randomly chosen egg weighs more than 68 g .

Ask by Mcfarlane Zimmerman. in Malaysia
Mar 19,2025

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Answer

1. In a box of 12 eggs, the probability of exactly one egg having double yolks is calculated using the binomial probability formula. 2. For a customer buying 3 boxes, the probability that exactly 2 boxes contain exactly one egg with double yolks is determined using the binomial distribution. 3. When the farmer delivers 10 boxes (120 eggs), the probability of having at least 9 eggs with double yolks is approximated using the Poisson distribution. 4. The probability that a randomly chosen egg weighs more than 68 grams is found by standardizing the normal distribution and using standard normal tables.

Solution

1. Let \( X \) be the number of eggs with double yolks in a box of 12. Since each egg is independent with probability \( p=0.05 \) of having double yolks, \[ X \sim \text{Binomial}(n=12,\, p=0.05). \] The probability that exactly one egg in a box has double yolks is \[ P(X=1)=\binom{12}{1}(0.05)^1(0.95)^{11}. \] 2. A customer buys 3 boxes. Denote by \( Y \) the number of boxes (out of 3) that contain exactly 1 egg with double yolk. Since the outcome for each box is independent with probability \[ p=\binom{12}{1}(0.05)(0.95)^{11} \] of “success”, we have \[ Y \sim \text{Binomial}(n=3,\, p). \] The probability that exactly 2 of the boxes contain exactly 1 egg with double yolk is \[ P(Y=2)=\binom{3}{2}\Bigl[\binom{12}{1}(0.05)(0.95)^{11}\Bigr]^2\Bigl(1-\binom{12}{1}(0.05)(0.95)^{11}\Bigr). \] 3. The farmer delivered 10 boxes (i.e. a total of \(10 \times 12=120\) eggs) and we want the probability that there are at least 9 eggs with double yolks among these 120 eggs. Let \[ Z \sim \text{Binomial}(n=120,\, p=0.05) \] denote the total number of eggs with double yolks. Since \( np=6 \) is moderately small, a Poisson approximation is appropriate with \[ \lambda = np = 6. \] Under this approximation, we have \[ P(Z \ge 9) \approx 1-\sum_{k=0}^{8} \frac{6^k e^{-6}}{k!}. \] 4. The weight of an individual egg is normally distributed with mean \( \mu = 65 \,\text{g} \) and standard deviation \( \sigma = 2.4 \,\text{g} \). Let \( W \) be the weight of a randomly chosen egg, i.e. \[ W \sim N(65,\, (2.4)^2). \] We wish to compute \[ P(W>68). \] Standardizing, \[ Z=\frac{W-65}{2.4}, \] so that \[ P(W>68)=P\left(Z>\frac{68-65}{2.4}\right)=P\left(Z>1.25\right). \] From standard normal tables, \[ P(Z>1.25)\approx 0.1056. \]

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The Deep Dive

To solve the first part, we can use the binomial probability formula \( P(X = k) = C(n, k) p^k (1-p)^{n-k} \), where \( n = 12 \), \( k = 1 \), and \( p = 0.05 \). For exactly one double-yolked egg: \[ P(X = 1) = C(12, 1) (0.05)^1 (0.95)^{11} \approx 0.3867 \] For the second part, we need to find the probability that exactly 2 out of 3 boxes contain exactly 1 egg with a double yolk. We can again use the binomial formula with \( n = 3 \), \( k = 2 \), and \( p \) as the previously calculated probability of a box containing exactly 1 double-yolked egg: \[ P(Y = 2) = C(3, 2) (P(X=1))^2 (1-P(X=1))^1 \approx 0.1841 \] For the last part, applying a suitable normal approximation for the box that the farmer delivered, we can assume the number of eggs with double yolks is binomial with \( n = 120 \) (10 boxes, 12 eggs each) and \( p = 0.05 \). We calculate the mean \( \mu = np = 6 \) and standard deviation \( \sigma = \sqrt{np(1-p)} \approx 4.86 \). Using the normal approximation: We find \( P(Z \geq 9) \) or \( P(X \geq 9) \) using \( Z = \frac{X - \mu}{\sigma} \). Now, for the weight of an egg, we wish to find the probability that an egg weighs more than 68g: Using the standard normal distribution: \[ Z = \frac{68 - 65}{2.4} \approx 1.25 \] Consulting a Z-table gives us \( P(Z > 1.25) \approx 0.1056 \). --- Did you know that double-yolked eggs are often associated with younger hens? These hens are more prone to laying eggs with two yolks due to their hormonal development. This interesting quirk makes these eggs a delightful surprise for breakfast! For further reading, dive into statistical modeling and probabilities! A good recommendation is "Statistics for Dummies," which makes concepts like binomial probabilities and normal distributions more approachable. You'll be crunching numbers like a pro in no time!

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