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slava [35]
3 years ago
12

Complete the equivalent ratio table.

Mathematics
2 answers:
Alexxx [7]3 years ago
7 0
It should be 10 45 63 my guy
Black_prince [1.1K]3 years ago
4 0

Answer:

10, 45, 63

Step-by-step explanation:

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Pls help it is due today
Tomtit [17]

Answer:

(-3, 5) is C

(0,-2) is  D

(-2, -2) is E

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
3. Problem 2: Suppose a radio manufacturer has the total cost function C (x) = 43x + $ 1850 and the revenue function R (x) = $ 8
OLEGan [10]

Given that,

Total cost function, C (x) = 43x + $1850

The revenue function R (x) = $80x

To find,

The number of units that must be produced and sold to break even.

Solution,

At break even, cost = revenue

43x + $1850 = $80x

Subtract 80x from both sides.

43x + 1850 -80x = $80x -80x

1850 = 80x-43x

37x = 1850

x = 50

So, the required number of units are 50.

8 0
3 years ago
Jaimie ran 3 1/2 miles on Monday she ran half as far on Tuesday as she did on Monday how far did Jaimie run in all on Monday and
chubhunter [2.5K]
Half of 3.5 is 1.75 so 3.5 which is Monday plus Tuesday, 1.75 is 5.25 miles in all
4 0
3 years ago
The brand manager for a brand toothpaste must plan a campaign designed to increase brand recognition. He wants to first determin
bulgar [2K]

We need to find out how many adults must the brand manager survey in order to be 90% confident that his estimate is within five percentage points of the true population percentage.

From the given data we know that our confidence level is 90%. From Standard Normal Table we know that the critical level at 90% confidence level is 1.645. In other words, Z_{Critical}=1.645.

We also know that E=5% or E=0.05

Also, since, \hat{p} is not given, we will assume that \hat{p}=0.5. This is because, the formula that we use will have \hat{p}(1-\hat{p}) in the expression and that will be maximum only when \hat{p}=0.5. (For any other value of \hat{p}, we will get a value less than 0.25. For example if, \hat{p} is 0.4, then 1-\hat{p}=0.6 and thus, \hat{p}(1-\hat{p})=0.24.).

We will now use the formula

n=(\frac{Z_{Critical}}{E})^2\hat{p}(1-\hat{p})

We will now substitute all the data that we have and we will get

n=(\frac{1.645}{0.05})^2\times0.5(1-0.5)

n=(32.9)^2\times0.25

n=270.6025

which can approximated to n=271.

So, the brand manager needs a sample size of 271

3 0
3 years ago
What is the greatest common factor for 12 and 20?!
yuradex [85]

Answer:

Step-by-step explanation: 4

6 0
3 years ago
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