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Anestetic [448]
2 years ago
9

NO LINKS!!! PLEASE HELP!!

Mathematics
1 answer:
crimeas [40]2 years ago
8 0

Answer:

stay calm

Step-by-step explanation:

stay calm

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Chris and Beth Micelli made a $235,000 offer for the purchase of a new home, which was accepted. They made a 30% down payment an
slega [8]

The amount of mortgage will be the remaining amount after they made a downpayment.

Since the downpayment is 30%, the mortgage will be 70% of the purchased amount

So mortage will be :

mortgage = 0.70 x $235,000 = $164,500

From the closing cost table :

There are charges related to the mortgage (Points, Document stamp and Processing fee)

Adding these charges will be :

=2% + 0.30% + 1.10% = 3.4% of the mortgage

So this will give us :

= 0.034 x $164,500 = $5,593

Now to find the total mortgage, add the values in the closing cost table including the mortgage itself.

Total mortgage = 164500 + 5,593 + 252 + 65 + 325 + 212 + 410 + 350 + 450

Answer :

Total mortgage = $172,157

7 0
1 year ago
Y=4x<br> 3x-y=1 <br><br> I have to put this in (x,y)
kozerog [31]

Answer:

(x,y)= (-1,-4)

Step-by-step explanation:

y=4x

put this value of y in 3x-y=1

3x-4x=1

-x=1

x= -1

y=4(-1)

y= -4

So (x,y) ordered pair is (-1,-4)

4 0
3 years ago
The function f(x) = 40sin(0.1x + 12) + 50 represents the number of items, f(x), made in a factory each day for x days. The data
Goshia [24]

Answer: 11,31

Step-by-step explanation: on edge

3 0
3 years ago
Read 2 more answers
We found the correlation coefficient for the comparison between height and weight in babies to be -0.12. That meanscorrelation i
qwelly [4]

Answer:

The taller the baby, the lighter the baby

Explanation:

A correlation coefficient is a number between -1 and 1. The correlation is strong when it is a number closer to -1 or closer to 1 and the relation is independent when it is a number closer to 0.

In this case, we get that the correlation coefficient is -0.12, so there is a weak negative correlation. The negative means that when one variable increases, the other decrease, so the taller the baby, the lighter the baby.

Then, the answer is:

The taller the baby, the lighter the baby

6 0
1 year ago
A manufacturing process produces integrated circuit chips. Over the long run the fraction of bad chips produced by the process i
Vitek1552 [10]

Answer:

0.0244 (2.44%)

Step-by-step explanation:

defining the event T= the chips passes the tests , then

P(T)= probability that the chip is not defective * probability that it passes the test given that is not defective  + probability that the chip is defective * probability that it passes the test given that is defective = 0.80 * 1 + 0.20 * 0.10 = 0.82

for conditional probability we can use the theorem of Bayes. If we define the event D=the chip was defective , then

P(D/T)=P(D∩T)/P(T) = 0.20 * 0.10/0.82=  0.0244 (2.44%)

where

P(D∩T)=probability that the chip is defective and passes the test

P(D/T)=probability that the chip is defective given that it passes the test

5 0
3 years ago
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