1) Jeannie is an experienced business traveler, often traveling back and forth from San Francisco to the East Coast several times per month. To catch her flights from San Francisco she leaves her office one hour before her flight leaves. Her travel time from her office to the departing gate at the San Francisco airport, including the time to park and go through security screening, is normally distributed with a mean of 46 minutes and a standard deviation of 5 minutes. What is the probability that Jeannie will miss her flight because her total time for catching her plane exceeds one hour? O 0.0017 O 0.0026 O 0.0059 O 0.0137 O None of the above 2) Use the same information about Jeannie in the above problem. Jeannie is known to be somewhat lax about getting to the airport in time to catch her flight. Suppose that she decides to leave her office so that she has a 96% chance of catching her flight; consequently there is a 4% chance that she will miss her flight. How many minutes before the flight leaves should she leave her office? Round your final answer to the nearest minute, then input that whole number below. DO NOT include units. Just input the numerical answer or the system will mark your answer wrong even if you input the correct value. 3) In a busy coffee shop, which is a member of an international chain of coffee shops, 40% of customers order a pastry in addition to their drink. If 20 customers were selected at random during one business day, what is the probability that at least 11 of them did not order a pastry with their drink. Round your answer to 4 decimal places. 0 0.1275 0 0.3763 O 0.5956 0 0.7553 O None of the above 4) It has been conjectured by the U.S. Census Bureau that "approximately 60% of foreign-born people who live in the U.S. are not naturalized citizens". In a national random sample of 70 foreign-born people who live in the U.S., on average, how many people would you expect to get that are not naturalized citizens. Select the best answer below. O 28 people 0 42 people 4.10 people O None of the above 5) A civil service exam yields scores with a mean of 81 and a standard deviation of 5.5. Using Chebyshev's Theorem what can we say about the percentage of scores that are above 92? O At most 12.5% O At most 25% O At least 75% O At least 25% O None of the above