1) 6.1.2 The commuter trains on the Red Line for the Regional Transit Authority (RTA) in Cleveland, OH are scheduled to be eight minutes apart during rush hour. This problem concerns the waiting time experienced by passengers having random arrival times at the station. State the random variable. Is the waiting time probability distribution a uniform distribution? If so, find the height of this uniform distribution. If not, describe the probability distribution. Find the probability of waiting between four and five minutes. Find the probability of waiting between three and eight minutes. Find the probability of waiting five minutes exactly. 2) 6.3.2 Find the z-score corresponding to the given area. Remember, z is distributed as the standard normal distribution with mean of and standard deviation . The area to the left of z is 15%. The area to the right of z is 65%. The area to the left of z is 10%. The area to the right of z is 5%. The area between and z is 95%. Hint: Draw a picture and figure out the area to the left of the . The area between and z is 99%. 3) 6.3.4 According to the WHO MONICA Project the mean blood pressure for people in China is 128 mmHg with a standard deviation of 23 mmHg (Kuulasmaa, Hense & Tolonen, 1998). Assume that blood pressure is normally distributed. State the random variable. Find the probability that a person in China has blood pressure of 135 mmHg or more. Find the probability that a person in China has blood pressure of 141 mmHg or less. Find the probability that a person in China has blood pressure between 120 and 125 mmHg. Is it unusual for a person in China to have a blood pressure of 135 mmHg? Why or why not? What blood pressure do 90% of all people in China have less than? 4) 6.3.8 A dishwasher has a mean life of 12 years with an estimated standard deviation of 1.25 years ("Appliance life expectancy," 2013). Assume the life of a dishwasher is normally distributed. State the random variable. Find the probability that a dishwasher will last more than 15 years. Find the probability that a dishwasher will last less than 6 years. Find the probability that a dishwasher will last between 8 and 10 years. If you found a dishwasher that lasted less than 6 years, would you think that you have a problem with the manufacturing process? Why or why not? A manufacturer of dishwashers only wants to replace free of charge 5% of all dishwashers. How long should the manufacturer make the warranty period? 5) 6.3.10 The mean yearly rainfall in Sydney, Australia, is about 137 mm and the standard deviation is about 69 mm ("Annual maximums of," 2013). Assume rainfall is normally distributed. State the random variable. Find the probability that the yearly rainfall is less than 100 mm. Find the probability that the yearly rainfall is more than 240 mm. Find the probability that the yearly rainfall is between 140 and 250 mm. If a year has a rainfall less than 100mm, does that mean it is an unusually dry year? Why or why not? What rainfall amount is 90% of all yearly rainfalls more than? 6) 6.4.4 Annual rainfalls for Sydney, Australia are given in table #6.4.6. ("Annual maximums of," 2013). Can you assume rainfall is normally distributed? Table #6.4.6: Annual Rainfall in Sydney, Australia 7) 6.5.2 A random variable is normally distributed. It has a mean of 245 and a standard deviation of 21. If you take a sample of size 10, can you say what the shape of the distribution for the sample mean is? Why? For a sample of size 10, state the mean of the sample mean and the standard deviation of the sample mean. For a sample of size 10, find the probability that the sample mean is more than 241. If you take a sample of size 35, can you say what the shape of the distribution of the sample mean is? Why? For a sample of size 35, state the mean of the sample mean and the standard deviation of the sample mean. For a sample of size 35, find the probability that the sample mean is more than 241. Compare your answers in part c and f. Why is one smaller than the other? 8) 6.5.6 The mean cholesterol levels of women age 45-59 in Ghana, Nigeria, and Seychelles is 5.1 mmol/l and the standard deviation is 1.0 mmol/l (Lawes, Hoorn, Law & Rodgers, 2004). Assume that cholesterol levels are normally distributed. State the random variable. Find the probability that a woman age 45-59 in Ghana has a cholesterol level above 6.2 mmol/l (considered a high level). Suppose doctors decide to test the woman's cholesterol level again and average the two values. Find the probability that this woman's mean cholesterol level for the two tests is above 6.2 mmol/l. Suppose doctors being very conservative decide to test the woman's cholesterol level a third time and average the three values. Find the probability that this woman's mean cholesterol level for the three tests is above 6.2 mmol/l. If the sample mean cholesterol level for this woman after three tests is above 6.2 mmol/l, what could you conclude? 9) 6.5.8 A dishwasher has a mean life of 12 years with an estimated standard deviation of 1.25 years ("Appliance life expectancy," 2013). The life of a dishwasher is normally distributed. Suppose you are a manufacturer and you take a sample of 10 dishwashers that you made. State the random variable. Find the mean of the sample mean. Find the standard deviation of the sample mean. What is the shape of the sampling distribution of the sample mean? Why? Find the probability that the sample mean of the dishwashers is less than 6 years. If you found the sample mean life of the 10 dishwashers to be less than 6 years, would you think that you have a problem with the manufacturing process? Why or why not? 10) True of False (Indicate T or F) The three measures of central tendency: mean, median and mode, for a normal distribution are identical. A normal distribution may be symmetrical or skewed left or right. A normally distributed data set has a mean of 100, and it is known that 30% of the values are greater than 140. The standard deviation of the normal distribution cannot be determined. The probability of a point occurring in any interval of equal length is the same in a uniform distribution. The total area under the normal curve is 1 as it is for all continuous distributions. For a variable that has a normal probability density, the probability of an occurrence larger than 3.1 times the standard deviation is very unlikely. Transformation of normal distributions to a standard normal distribution makes it easier to compare them and allows there to be a single table to be used for all normal distributions. Although a normal distribution has a 'bell' shape, not all 'bell' shaped distributions are normal distributions. A normal distribution is completely described by two quantities: mean and standard deviation. Slightly more than 2/3 of the data occur within 1 standard deviation from the mean in a normal distribution