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Answer :
the probability is 0.01 that the sample mean weight is less than 14 kg. Therefore, approximately 5 bags must be sampled.(Non of Option)
Here are the calculations:
Step 1: Determine the z-score corresponding to the desired probability (0.01). Since we are interested in the left tail of the distribution, we use a negative z-score. From the standard normal distribution table (or calculator), the z-score corresponding to a probability of 0.01 is approximately -2.33.
Step 2: Calculate the standard error of the mean (SEM) using the formula:
SEM = σ / √n
Given that the population standard deviation (σ) is 14 kg, we have:
SEM = 14 / √n
Step 3: Rearrange the z-score formula to solve for the sample size (n):
n = (z * σ / desired SEM)^2
Substitute the known values: z = -2.33, σ = 14 kg, and the desired SEM is 14 kg:
n = (-2.33 * 14 / 14)^2
n = (-32.62 / 14)^2
n = (-2.33)^2
n = 5.4289
Step 4: Round up to the next largest whole number to ensure that the probability is 0.01 that the sample mean weight is less than 14 kg. Therefore, approximately 5 bags must be sampled.(Non of Option)
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