Answer:
I think its sometimes sorry if im wrong
The answers to the various part as well as its reasons are given below
<h3 /><h3>Part A:</h3>
- The x-intercepts shows a zero profit.
- The maximum value of the graph tells or depict the maximum profit.
- The function is one that goes up or increases upward until it reach the vertex and then it falls or decreases after it.
- This implies that the profit goes up as it reaches the peak at the vertex and it goes down after the vertex up until it gets to zero.
- The profits are negative as seen on the left of the first zero and on the right of the second zero.
<h3>Part B:</h3>
An approximate average rate of change of the graph from x = 3 to x = 5, shows the reduction in profit from 3 to 5.
<h3>Part C:</h3>
Based on the above, the domain is one that is held back or constrained by x = 0 .
We are compelled at x = 6 due to the fact that we have to maneuver a negative profit.
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Answer:
There are 0.475 pounds of apples in each tart.
I arrived in this number by dividing the total number of pounds by the total number of tarts made.
475 pounds divided by 1000 tarts is equal to 0.475 pounds per tart.
475 lbs/1000 tarts = 0.475 lbs/tart
So, if you are to bake a certain number of tarts and need to know the total number of pounds of apple needed to bake you can use this equation.
y = 0.475x
where y represents the total number of pounds needed to bake x number of tarts with a fixed 0.475 pounds per tart.
Step-by-step explanation:
Answer:
P(2.50 < Xbar < 2.66) = 0.046
Step-by-step explanation:
We are given that Population Mean,
= 2.58 and Standard deviation,
= 0.75
Also, a random sample (n) of 110 households is taken.
Let Xbar = sample mean household size
The z score probability distribution for sample mean is give by;
Z =
~ N(0,1)
So, probability that the sample mean household size is between 2.50 and 2.66 people = P(2.50 < Xbar < 2.66)
P(2.50 < Xbar < 2.66) = P(Xbar < 2.66) - P(Xbar
2.50)
P(Xbar < 2.66) = P(
<
) = P(Z < -1.68) = 1 - P(Z 1.68)
= 1 - 0.95352 = 0.04648
P(Xbar
2.50) = P(
) = P(Z
-3.92) = 1 - P(Z < 3.92)
= 1 - 0.99996 = 0.00004
Therefore, P(2.50 < Xbar < 2.66) = 0.04648 - 0.00004 = 0.046
Answer:
2x-10
Step-by-step explanation: