A season has96 home games. If you purchase a season ticket in the bleacher section, what is the cost per game,in dollars, for th
1 answer:
Answer:
$8.4375 per game
Step-by-step explanation:
From. The picture attached :
Season long Ticket cost for the bleachers sitting area is : $810
Given that the number of home games in a season is 96
The cost per unit of game could be calculated as :
Cost of season long Ticket / number of home games
= $810 / 96
= $8.4375
$8.4375 per game
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Using translation concepts, the graph of f(x) = (x - 2)² + 3 is given at the end of the question.
<h3>What is a translation?</h3>A translation is represented by a change in the function graph, according to operations such as multiplication or sum/subtraction either in it’s definition or in it’s domain. Examples are shift left/right or bottom/up, vertical or horizontal stretching or compression, and reflections over the x-axis or the y-axis.
In this problem, we have that the parent and the translated function are given, respectively, by:
- g(x) = x².
- f(x) = (x - 2)² + 3.
The translations are as follows:
- Right two units, as x -> x - 2.
- Up 3 units, because f(x) = g(x) + 3.
Hence the graphs are given at the end of the answer, with the parent function in red and the translated function f(x) = (x - 2)² + 3 in green.
More can be learned about translation concepts at brainly.com/question/4521517
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Answer:
We also know that we select a sample size of n =100 and on this case since the sample size is higher than 30 we can apply the central limit theorem and the distribution for the sample mean would be given by:
And the standard deviation for the sampling distribution would be:
So then the answer is TRUE
Step-by-step explanation:
Let X the random variable of interest and we know that the true mean and deviation for this case are given by:
We also know that we select a sample size of n =100 and on this case since the sample size is higher than 30 we can apply the central limit theorem and the distribution for the sample mean would be given by:
And the standard deviation for the sampling distribution would be:
So then the answer is TRUE