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2006 #1 – The Catapults Two parents have each built a toy catapult for use in a game at an elementary school fair. To play the game, the students will attempt to launch Ping-Pong balls from the catapults so that the balls land within a 5-centimeter band. A target line will be drawn through the middle of the band, as shown in the figure below. All points on the target line are equidistant from the launching location. If a ball lands within the shaded band, the student will win a prize. 2006 #1 – The Catapults The parents have constructed the two catapults according to slightly different plans. They want to test these catapults before building additional ones. Under identical conditions, the parents launch 40 Ping-Pong balls from each catapult and measure the distance that the ball travels before landing. Distances to the nearest centimeter are graphed in the dotplot below. 2006 #1 – The Catapults a) Comment on any similarities and any differences in the two distributions of distances traveled by balls launched from catapult A and catapult B. b) If the parents want to maximize the probability of having the Ping-Pong balls land within the band, which one of the catapults, A or B, would be better to use than the other? Justify your choice. c) Using the catapult that you chose in part (b), how many centimeters from the target line should this catapult be placed? Explain why you chose this distance. 2006 #2 – Soapsuds A manufacturer of dish detergent believes the height of soapsuds in the dishpan depends on the amount of detergent used. A study of the suds’ height for a new dish detergent was conducted. Seven pans of water were prepared. All pans were of the same size and type and contained the same amount of water. The temperature of the water was the same for each pan. An amount of dish detergent was assigned at random to each pan, and that amount of detergent was added to that pan. Then the water in the dishpan was agitated for a set of amount of time, and the height of the resulting suds were measured. 2006 #2 – Soapsuds A plot of the data and the computer printout from fitting a leastsquares regression line to the data are shown below. 2006 #2 – Soapsuds a) Write the equation of the fitted regression line. Define any variables used in this equation. b) Note that s = 1.99821 in the computer output. Interpret this value in the context of the study. c) Identify and interpret the standard error of the slope. 2008B #4 – Music and Blood Pressure A researcher wants to conduct a study to test whether listening to soothing music for 20 minutes helps to reduce diastolic blood pressure in patients with high blood pressure, compared to simply sitting quietly in a noise-free environment for 20 minutes. One hundred patients with high blood pressure at a large medical clinic are available to participate in this study. 2008B #4 – Music and Blood Pressure a) Propose a design for this study to compare these two treatments. 2008B #4 – Music and Blood Pressure b) The null hypothesis for this study is that there is no difference in the mean reduction of diastolic blood pressure for the two treatments and the alternative hypothesis is that the mean reduction in diastolic blood pressure is greater for the music treatment. lf the null hypothesis is rejected, the clinic will offer this music therapy as a free service to their patients with high blood pressure. Describe Type I and Type II errors and the consequences of each in the context of this study, and discuss which one you think is more serious. 1997, FRQ#2 – Fish Tanks APAI Math/Science Day 3 — 14 Probability Practice All bags entering a research facility are screened. Ninety-seven percent of the bags that contain forbidden material trigger an alarm. Fifteen percent of the bags that do not contain forbidden material also trigger the alarm. If 1 out of every 1,000 bags entering the building contains forbidden material, what is the probability that a bag that triggers the alarm will actually contain forbidden material? Organize the Problem • Label the Events – F – Bag Contains Forbidden Material – A – Bag Triggers an Alarm • Determine the Given Probabilities – P(A|F) = 0.97 – P(A|FC) = 0.15 – P(F) = 0.001 • Determine the Question – P(F|A) ? Set up a Tree Diagram A 0.97 F 0.03 0.001 AC Non-Conditional Probabilities A 0.999 0.15 FC 0.85 AC Conditional Probabilities Calculate the Probability • P(F|A) = P(F and A) / P(A) • P(A) = P(F and A) or P(FC and A) = .001(.97) + .999(.15) .15082 • P(F and A) = .001(.97) = .00097 P(F|A) = .00097/.15082 = 0.006 = 2002 #3 - The Runners There are 4 runners on the New High School team. The team is planning to participate in a race in which each runner runs a mile. The team time is the sum of the individual times for the 4 runners. Assume that the individual times of the 4 runners are all independent of each other. The individual times, in minutes, of the runners in similar races are approximately normally distributed with the following means and standard deviations. Runner Mean SD 1 4.9 0.15 2 4.7 0.16 3 4.5 0.14 4 4.8 0.15 2002 #3 - The Runners a) Runner 3 thinks that he can run a mile in less than 4.2 minutes in the next race. Is this likely to happen? Explain. b) The distribution of possible team times is approximately normal. What are the mean and standard deviation of this distribution? c) Suppose the teams best time to date is 18.4 minutes. What is the probability that the team will beat its own best time in the next race? Runner Mean SD 1 4.9 0.15 2 4.7 0.16 3 4.5 0.14 4 4.8 0.15