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Drivers in Wyoming drive more miles yearly than motorists in any other state. The annual number of miles driven per licensed driver in Wyoming is 22,402 miles. Assume the standard deviation is 4,500 miles. A random sample of 500 licensed drivers in Wyoming is selected and the mean number of miles driven yearly for the sample is calculated. a. What value would we expect for the sample mean? b. What is the standard error for the sample mean? a. The expected sample mean is miles, because the Round to the nearest integer as needed. b. What is the standard error for the sample mean? The standard error for the sample mean is |miles. (Type an integer or decimal rounded to the nearest tenth as needed.)A study of all the students at a small college showed a mean age of 20.2 and a standard deviation of 2.? years. a. Are these numbers statistics or parameters? Explain. _ b. Label both numbers with Their appropriate symbol [such as x, p, s, or o}. a. Choose The correct answer below. CI A. The numbers are parameters because They are estimates and not certain. CI E. The numbers are statistics because They are for all The students, not a sample. C} C. The numbers are statistics because They are estimates and not certain. C} D. The numbers are parameters because They are for all The students, not a sample. b. Choose The correct labels below. = 20.2 = 2.? Some sources report that the weights of full-term newborn babies in a certain town have a mean of 8 pounds and a standard deviation of 0.6 pounds and are Normally distributed. a. What is the probability that one newborn baby will have a weight within 0.6 pounds of the mean-that is, between 7.4 and 8.6 pounds, or within one standard deviation of the mean? b. What is the probability that the average of four babies' weights will be within 0.6 pounds of the mean; will be between 7.4 and 8.6 pounds? c. Explain the difference between (a) and (b). a. The probability is. (Round to four decimal places as needed.) b. The probability is (Round to four decimal places as needed.) c. The distribution of means is and than the original distribution. Therefore, the distribution of means will have observations located closer to the center of the distribution