Step 1 :We are given that the length of human pregnancies is approximately normal with mean \(\mu=266\) days and standard deviation \(\sigma=16\) days.
Step 2 :We are asked to find the probability that a random sample of 20 pregnancies has a mean gestation period of 261 days or less.
Step 3 :This is a problem of normal distribution. We can use the formula for the z-score to find the probability.
Step 4 :The z-score is calculated as \((X - \mu) / (\sigma / \sqrt{n})\), where X is the sample mean, \(\mu\) is the population mean, \(\sigma\) is the standard deviation, and n is the sample size.
Step 5 :Substituting the given values into the formula, we get \(z = (261 - 266) / (16 / \sqrt{20}) = -1.3975424859373686\).
Step 6 :We can then use a z-table to find the probability corresponding to this z-score, which is approximately 0.0811.
Step 7 :This means that if we take a random sample of 20 pregnancies, there is about an 8.11% chance that the mean gestation period will be 261 days or less.
Step 8 :Final Answer: The probability that a random sample of 20 pregnancies has a mean gestation period of 261 days or less is approximately \(\boxed{0.0811}\).