HELP please HELP Adam plans to choose a video game from a section of the store where everything is 75% 75 % off. He writes the expression −0.75 to find the sale price of the game if the original price is d dollars. Rena correctly writes another expression, 0.25 , that will also find the sale price of the game if the original price is d dollars. Use the drop-down menus to explain what each part of Adam's and Rena's expressions mean.

Adam's Expression −0.75
d:
0.75:
0.75d:
d - 0.75d:

Rena's Expression: 0.25
0.25:
d:
0.25d:

The drop box answers are
•Percent discount
•Amount of discount
•Percent increase
•Sale price of Video game
•Original price of video game
•Percent of original price Adam will pay
•Amount Adam has left after buying the video game

Acompany manufactures large valves, packed in boxes. a shipment consists of 1500 valves packed in 75 boxes. each box has the outer dimensions 1.2 x 0.8 x 1.6 m and the inner dimensions 1.19 x 0.79 x 1.59 m. the boxes are loaded on a vehicle (truck + trailer). the available capacity in the vehicle combination is 140 m3. each valve has a volume of 0.06 m3. - calculate the load factor on the box level (%). - calculate the load factor on the vehicle level (%). - calculate the overall load factor (%).

Rewrite the following quadratic functions in intercept or factored form. show your work. f(x) = 3x^2 - 12

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?