We appreciate your visit to Based on data from the National Health Board weights of men are normally distributed with a mean of 178 lbs and a standard deviation of. This page offers clear insights and highlights the essential aspects of the topic. Our goal is to provide a helpful and engaging learning experience. Explore the content and find the answers you need!
Answer :
The probability that the mean weight of 20 randomly selected men is between 170 and 185 lbs is approximately 0.7189 or approximately 72%.
To solve this problem, we need to use the formula for the sampling distribution of the mean, which states that the mean of a sample of size n drawn from a population with mean μ and standard deviation σ is normally distributed with a mean of μ and a standard deviation of σ/sqrt(n).
In this case, we have a population of men with a mean weight of 178 lbs and a standard deviation of 26 lbs. We want to know the probability that 20 randomly selected men will have a mean weight between 170 and 185 lbs.
First, we need to calculate the standard deviation of the sampling distribution of the mean. Since we are taking a sample of size 20, the standard deviation of the sampling distribution is:
σ/sqrt(n) = 26/sqrt(20) = 5.82
Next, we need to standardize the interval between 170 and 185 lbs using the formula:
z = (x - μ) / (σ/sqrt(n))
For x = 170 lbs:
z = (170 - 178) / 5.82 = -1.37
For x = 185 lbs:
z = (185 - 178) / 5.82 = 1.20
Now we can use a standard normal distribution table (or a calculator) to find the probability of the interval between -1.37 and 1.20:
P(-1.37 < z < 1.20) = 0.8042 - 0.0853 = 0.7189
Therefore, the probability that 20 randomly selected men will have a mean weight between 170 and 185 lbs is 0.7189 or approximately 72%.
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