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Favorite Snack Niggslre\" Brownies 36 Cookies 34 Chips 47 Other 63 Joe is in charge of planning a reception for 2200 people. He is trying to decide which snacks to buy. He has asked a random sample of people who are coming to the reception what their favorite snack is. Here are the results. Based on the above sample, predict the number of the people at the reception whose favorite snack will be brownies. Round your answer to the nearest whole number. Do not round any intermediate calculations. [1 people X f) r? Every day a school bus driver passes the same traffic light twice, once before school and once after. Each time he passes the light, he records if it is red, green, or yellow. Here is a summary of the data he got after 100 days. Traffic light Traffic light before school after school Number of days red red re green ed yellow re green yellow red green yellow Suppose the driver will continue recording the colors for 250 more days. In how many of these 250 days will the light be red neither time? Use the data to make a prediction. Sam has a bag with 8 balls numbered 1 through 8. He is playing a game of chance. This game is this: Sam chooses one ball from the bag at random. He wins $1 if the number 1 is selected, $2 if the number 2 is selected, $5 if the number 3 is selected, $6 if the number 4 is selected, $8 if the number 5 is selected, and $10 if the number 6 is selected. He loses $14 if 7 or 8 is selected. (If necessary, consult a list of formulas.) (a) Find the expected value of playing the game. ] dollars (b) What can Sam expect in the long run, after playing the game many times? (He replaces the ball in the bag each time.) 0 Sam can expect to gain money. He can ex ect to win dollars er selection. p p 0 Sam can expect to lose money. He can expect to lose I] dollars per selection. 0 Sam can expect to break even (neither gain nor lose money). Digitalis is a technology company that makes high-end computer processors. Their newest processor, the luteA, is going to be sold directly to the public. The processor is to be sold for $5400, making Digitalis a prot of $594. Unfortunately there was a manufacturing aw, and some of these luteA processors are defective and cannot be repaired. On these defective processors, Digitalis is going to give the customer a full refund. Suppose that for each luteA there is a 13% chance that it is defective and an 87% chance that it is not defective. (If necessary, consult a list of formulas.) If Digitalis knows it will sell many of these processors, should it expect to make or lose money from selling them? How much? To answer, take into account the profit earned on each processor and the expected value of the amount refunded due to the processor being defective. O Digitalis can expect to make money from selling these processors. In the long run, they should expect to make I] dollars on each processor sold. 0 Digitalis can expect to lose money from selling these processors. In the long run, they should expect to lose I] dollars on each processor sold. O Digitalis should expect to neither make nor lose money from selling these processors