Select the best real-world situation that can be represented by 18 + = 19.50. Then solve the equation and describe what your answer represents for the problem situation. A Mary wants to buy flowers and perfume. She has $19.50 to spend, but has already spent $18 on perfume. How much does she have left to spend on flowers?
B Jane has $19.50 to spend. How many roses can she buy if they are $18 each?
C Rachel earns $18 per hour. How long does it take her to earn $19.50?
D Sarah has $18 in her checking account, but has written a check for $19.50. How much is she overdrawn?

what does c equal ?

A The answer represents how long she has to work to earn $19.50.
B The answer represents the number of roses she can buy.
C The answer represents how much she is overdrawn.
D The answer represents what she has left to spend on flowers.

Find the slope of the line below . enter your answer as a fraction or decimal. use a slash mark ( / ) as the fraction bar if necessary

The median am of triangle ∆abc is half the length of the side towards which it is drawn, bc . prove that triangle ∆abc is a right triangle, and find angle mac and abm

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?