Mathematics, 22.07.2019 19:20 FavvBella84
The linear model represents the height, f(x), of a water balloon thrown off the roof of a building over time, x, measured in seconds:
a linear model with ordered pairs at 0, 60 and 2, 75 and 4, 75 and 6, 40 and 8, 20 and 10, 0 and 12, 0 and 14, 0. the x axis is labeled time in seconds, and the y axis is labeled height in feet.
part a: during what interval(s) of the domain is the water balloon's height increasing? (2 points)
part b: during what interval(s) of the domain is the water balloon's height staying the same? (2 points)
part c: during what interval(s) of the domain is the water balloon's height decreasing the fastest? use complete sentences to support your answer. (3 points)
part d: use the constraints of the real-world situation to predict the height of the water balloon at 16 seconds. use complete sentences to support your answer. (3 points)
Answers: 2
Mathematics, 21.06.2019 14:30
Ablock of wood is a cube whose side is x in. long. you cut off a 1-inch thick piece from the entire right side. then you cut off a 3-inch thick piece from the entire top of the remaining shape. the volume of the remaining block is 2,002 in3. what are the dimensions of the original block of wood?
Answers: 2
Mathematics, 21.06.2019 17:30
Student price tickets to a movie are $1 and non student tickets are $2. 350 tickets are sold and the total amount made is $450. how many non student tickets were sold ? a) 100 b) 150 c) 200 d)250
Answers: 2
Mathematics, 21.06.2019 22:30
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?
Answers: 3
The linear model represents the height, f(x), of a water balloon thrown off the roof of a building o...
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