In: Statistics and Probability
Assume that females have pulse rates that are normally distributed with a mean of mu equals μ=74.0 beats per minute and a standard deviation of sigma equals σ=12.5 beats per minute. Complete parts (a) through (c) below. a. If 1 adult female is randomly selected, find the probability that her pulse rate is less than 77 beats per minute. The probability is nothing. (Round to four decimal places as needed.) b. If 44 adult females are randomly selected, find the probability that they have pulse rates with a mean less than 77 beats per minute. The probability is nothing. (Round to four decimal places as needed.) c. Why can the normal distribution be used in part (b), even though the sample size does not exceed 30? A. Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size. B. Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size. C. Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size. D. Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size.
It is given that population mean and population standard deviation
(A) Probability that her pulse rate is less than 77 beats per minute
Using normalcdf(lower bound, upper bound, mean, standard deviation)
using lower bound = negative infinity or -E99, upper bound = 77, mean = 74 and standard deviation = 12.5
this implies
= normalcdf(-E99,77,74,12.5)
= 0.5948
(B) Probability that pulse rate is less than 77 beats per minute for a sample of 44
sample standard deviation =
Using normalcdf(lower bound, upper bound, mean, standard deviation)
using lower bound = negative infinity or -E99, upper bound = 77, mean = 74 and standard deviation = 1.88
this implies
= normalcdf(-E99,77,74,1.88)
= 0.9443
(C) It is clear that the population standard deviation is known and equal to 12.5, so distribution of sample means is a normal distribution for any sample size
Option A is correct
Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size