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Mazyrski [523]
3 years ago
6

You are shipping a box that weighs 5 pounds. Shipping charges are listed by ounces at the local mail center. The first ounce cos

ts you $0.35 plus an additional $0.10 for every ounce (or part of an ounce) over the first ounce. What is the cost to ship the package in dollars and cents?
Mathematics
2 answers:
Ivahew [28]3 years ago
6 0
You can use the equation y=.1(x-1)+.35 to solve, where y is the cost in dollars and cents and x is the total number of boxes.

Y=.1(5-1)+.35
Y=.1(4)+.35
Y=.4+.35
Y=.75

The cost to ship is $0.75
r-ruslan [8.4K]3 years ago
5 0

Remember that 1 lb = 16 oz.  Thus, 5 lb = 80 oz.

The first oz costs $0.35 and the remaining (80-1) oz, or 79 oz, costs ($0.10/oz)(79 oz).  This comes to $0.35 + $7.90, or $8.25.

The shipping cost for this package will be $8.25.

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Profit is equal to the revenue obtained from selling items minus the cost of producing those items, i.e. P(x) = R(x) – C(x) wher
DIA [1.3K]
P(x)=R(x)-C(x)
Given that:
R(x)=2.5x and C(x)=0.5x+3
Then,
P(x)=2.5x-(0.5x+3)
P(x)=2x-3
thus for profit of $99, the number of units will be found as follows:
99=2x-3
solving for x we get:
102=2x
x=56 units
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3 years ago
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Which equation is represented by the table?
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Answer:

C??????????????? ?????????

7 0
2 years ago
Vicent is making a number sentence using 1,3 and 5. what is the missing digit? show your work out.​
lawyer [7]
5.6 is the correct answer because 1.3 +4.3 would be 5.6 so the next one in the sequence is 9.9
6 0
2 years ago
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4 0
3 years ago
The following data are the distances between 20 retail stores and a large distribution center. The distances are in miles.
Free_Kalibri [48]

Answer:

1191.4 ; 34.5

Step-by-step explanation:

Given the data:

29; 37; 38; 40; 58; 67; 68; 69; 76; 86; 87; 95; 96; 96; 99; 106; 112; 127; 145; 150

The sample variance and standard deviation can be obtained thus :

Σ(X - m)² / (n - 1)

Where, m = mean of the sample

n = sample size

The standard deviation equals, sqrt(variance )

Using a calculator:

The variance, σ² ;

Mean = Σx / n = 1681 / 20 = 84.05

(x -m)^2

[(29-84.05)^2 + (37-84.05)^2 + (38-84.05)^2 + (40-84.05)^2 + (58-84.05)^2 + (67-84.05)^2 + (68-84.05)^2 + (69-84.05)^2 + (76-84.05)^2 + (86-84.05)^2 + (87-84.05)^2 + (95-84.05)^2 + (96-84.05)^2 + (96-84.05)^2 + (99-84.05)^2 + (106-84.05)^2 + (112-84.05)^2 + (127-84.05)^2 + (145-84.05)^2 + (150-84.05)^2] / 19

22636.95 / 19

= 1191.4184 = 1191.42

Standard deviation = sqrt( Variance)

Standard deviation = sqrt(1191.4184)

Standard deviation = 34.516929 = 34.52

4 0
3 years ago
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