Patrick A. answered 09/01/23
Actuary with Extensive Probability Background
Since the population standard deviation is 59 pounds, the variance is 59*59 = 3,481.
For sums of random variables, both means and variances are summed. For a sample size of 17, the sample mean is 17 * 569 = 9,673 and the sample variance is 17 * 3,481 = 59,177. The sample standard deviation is the square root of the sample variance, or 243.26.
The Z value is (10370 - 9,673)/243.26 = 697/243.26 = 2.8652.
This is a one-tailed test, as what is being sought is the likelihood that the weight of the sample of 17 exceeds 10,370.
Using a standard normal cumulative distribution table, the values for both 2.86 and 2.87 are .9979 to four decimal places.
The probability that the sample exceeds 10,370 pounds in weight is 1-0.9979 = 0.0021, or about one chance in 480.