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Debora [2.8K]
3 years ago
7

What is the value of a good credit report to a borrower? A. A good credit report allows the borrower to spend as much as they wa

nt. B. A good credit report allows the borrower to borrow less money at a higher interest rate. C. A good credit report allows the borrower to borrow more money at a lower interest rate. D. all of the above
Mathematics
1 answer:
Alecsey [184]3 years ago
5 0
I think all of the above apply 
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The difference of 4 minus 17 less the sum of 6 and 1
steposvetlana [31]

Answer:

4-(-10)

Step-by-step explanation:

17 less than 6+1 is negative 10 so 4 minus negative 10

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3 years ago
If you needed only 1 c of milk, what is your best choice at the grocery store? a quart container, a pint container, or a 1/2 gal
Lena [83]
What would be best to buy is the quart container
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The janitor at a school discovered a leak in a pipe. The janitor found that it was leaking at a rate of 3 fl oz per minute. How
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1.40625 gallons per hour
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3 years ago
Choose the numbers to create a story problem that represent 4 divide 1/3
likoan [24]

Answer:

Jack wants to give a treat to his 4 friends. Jack buys a big chocolate

filled cake. He divides the cake into 1/3 pieces. How much cake did each friend get?

7 0
3 years ago
A population of voters contains 46% Republicans, 45% Democrats and the rest are Independents. Assume 50% of Republicans, 40% of
ICE Princess25 [194]

Answer:

The probability is 0.18

Step-by-step explanation:

Here, we are interested in calculating a conditional probability;

Let the event that a voter is a Republican be R , the event that a voter is a Democrat be D and that a voter is an independent is I

Let the event that the election issue is favored be F

We have the following probabilities;

P(R) = 46% = 0.46

P(D) = 45% = 0.45

P(I) = 1-0.45-0.46 = 0.09

The conditional probability we want to calculate is;

P(D | F) which can be read as probability of event D given event F

From the question, we can identify the following conditional probabilities;

P(F|R) = 0.46 * 0.5 = 0.23 (0.5 is gotten from 50% = 50/100)

P(F | D) = 0.45 * 0.4 = 0.18

P( F | I) = 0.09 * 0.6 = 0.054

P(F) = 0.054 + 0.18 + 0.23 = 0.464

Mathematically; From Baye’s theorem

P( D | F) ={ P ( F | D) * P(D) }/ P(F)

P( D | F) = (0.18 * 0.45)/0.464 = 0.1745

7 0
3 years ago
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