Select all situations that are are accurately described by the expression 15*35. A. A population begins at 15,000. The population triples each hour. How many bacteria are there after 5 hours?

B. A population begins at 15,000. The population triples each hour. How many thousand bacteria are there after 5 hours?

C. A population begins at 15,000. The population triples each hour. How many thousand bacteria are there after 3 hours?

D. A bank account balance is $15. The account balance triples each year. What is the bank account balance, in dollars, after 5 years?

E. A bank account balance is $15,000.It grows by 3,000 each year. What is the bank account balance, in thousands of dollars, after 5 years?

Players on the school soccer team are selling candles to raise money for an upcoming trip. each player has 24 candles to sell. if a player sells 4 candles a profit of$30 is made. if he sells 12 candles a profit of $70 is made. determine an equation to model his situation?

Abakery recorded the number of muffins and bagels it sold for a seven day period. for the data presented, what does the value of 51 summarize? a) mean of bagels b) mean of muffins c) range of bagels d) range of muffins sample # 1 2 3 4 5 6 7 muffins 61 20 32 58 62 61 56 bagels 34 45 43 42 46 72 75

Amachine that produces a special type of transistor (a component of computers) has a 2% defective rate. the production is considered a random process where each transistor is independent of the others. (a) what is the probability that the 10th transistor produced is the first with a defect? (b) what is the probability that the machine produces no defective transistors in a batch of 100? (c) on average, how many transistors would you expect to be produced before the first with a defect? what is the standard deviation? (d) another machine that also produces transistors has a 5% defective rate where each transistor is produced independent of the others. on average how many transistors would you expect to be produced with this machine before the first with a defect? what is the standard deviation? (e) based on your answers to parts (c) and (d), how does increasing the probability of an event a↵ect the mean and standard deviation of the wait time until success?