27) Scores on a testhsve a mean of 66 and Q; is 81. The scores have a distribution that is approximately normal. Find the standard deviation. Round your answer to the nearest . tenth. A) 11.3 a) 20 C) 10.1 o} 22.4 28) The amount of snowfall falling in a certain mountain range is normally distributed with a mean of PB inches, and a standard deviation of 14 inches. What is the probability that the mean annual snowfall during 49 randomly picked years will be more than 80.8 inches? A) 0.4192 B) 0.5503 C} 00303 D) 0.0026 29) Assume that the weights of quarters are normally distributed with a mean of 5.67 g and a standard deviation 0.070 g. A vending machine will only accept coins weighing between 5.48 g and 5.82 3. What percentage of legal quarters will be rejected? A) 1.96% B) 97.52% C) 2.43% D) 93.04% . Use the Central Lindt Theorem to nd the mean and standard error of the mean of the indicated sampling distribution. 30) The amounts of time employees of a telecommunications company have worked for the company are normally distributed with a mean of 5.1 years and a standard deviation of 2.0 years. Random sarnples of size 18 are drawn from the population and the mean of Bath sample is determined. A) 5.1 years, 0.11 years B) 1.2 years, 2.0 years C) 5.1 years, 0.4? years D) 1.2 years. 0.47 years Solve the problem. 3]) Scores on a test are normally distributed with a mean of 63.7 and a standard deviation of 10.3. Find P31, which separates the bottom 81% from the top 19%. A) 66.7 B) 0.83 C) 72.0 D) 0.291 Provide an appropriate response. 32) SAT scores have a mean of 1026 and a standard deviation of 209. ACT scores have a mean of 20.8 and a standard deviation of 4.8. A student takes both tests while a junior and scores 860 on the SAT and 16 on the ACT. Compare the scores. A) A score of 860 on the SAT test was better. B) A score of 16 on the ACT test was better. C) The two scores are statistically the same. D) You cannot determine which. score is better from the given information. 33) What happens to the mean and standard deviation of the distribution of sample means as the size of the sample decreases? A) The mean of the sample means stays constant and the standard error increases. 0) The mean of the sample mans increases and the standard error stays constant. C) The mean of the sample means stays constant and the standard errOr decreases. D) The mean of the sample means decreases and thestandard error increases. Solve the problem. 34) For women aged 18-24,, systolic blood pressures (in mm Hg) are normally distributed with a mean of 114.8 and a standard deviation of 13.1. If 23 Women aged 18-24 are randomly selected. nd the probability that theirmesn systolic blood pressure is between 119 and 122. A) 0.3343 B) 0.934] C) 0.0036 D) 0.0577