Step 1 :Given that the pulse rates of females are normally distributed with a mean of \( \mu = 74.0 \) beats per minute and a standard deviation of \( \sigma = 12.5 \) beats per minute.
Step 2 :For part a, we are asked to find the probability that a randomly selected adult female has a pulse rate between 67 and 81 beats per minute. We can use the z-score formula to find this probability. The z-score is calculated as \( z = \frac{X - \mu}{\sigma} \), where X is the value we're interested in, \( \mu \) is the mean, and \( \sigma \) is the standard deviation. For X = 67, the z-score is \( z_1 = \frac{67 - 74}{12.5} = -0.56 \). For X = 81, the z-score is \( z_2 = \frac{81 - 74}{12.5} = 0.56 \). The probability that a randomly selected adult female has a pulse rate between 67 and 81 beats per minute is approximately 0.4245.
Step 3 :For part b, we are asked to find the probability that the mean pulse rate of 4 randomly selected adult females is between 67 and 81 beats per minute. We need to adjust the standard deviation because we're dealing with a sample mean rather than an individual value. The standard deviation of a sample mean is \( \sigma_b = \frac{\sigma}{\sqrt{n}} \), where n is the sample size. In this case, \( n = 4 \), so \( \sigma_b = \frac{12.5}{\sqrt{4}} = 6.25 \). We can then use the z-score formula again to find the probability. For X = 67, the z-score is \( z_{1b} = \frac{67 - 74}{6.25} = -1.12 \). For X = 81, the z-score is \( z_{2b} = \frac{81 - 74}{6.25} = 1.12 \). The probability that the mean pulse rate of 4 randomly selected adult females is between 67 and 81 beats per minute is approximately 0.7373.
Step 4 :Final Answer: The probability that a randomly selected adult female has a pulse rate between 67 and 81 beats per minute is approximately \( \boxed{0.4245} \). The probability that the mean pulse rate of 4 randomly selected adult females is between 67 and 81 beats per minute is approximately \( \boxed{0.7373} \).