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taurus [48]
2 years ago
12

What is the answer to this decimal problem 0.32÷n=0.032

Mathematics
2 answers:
11111nata11111 [884]2 years ago
6 0

10 because you know that the decimal moves one to the left if you are dividing by ten and one to the right if you are multiplying by ten.

Check your work. 0.32 divided by 10 is 0.032

seropon [69]2 years ago
4 0
10 because the decimal will move on the left so your dividing by ten
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Grant's credit card has an apr of 11.28% and it just changed its compounding period from monthly to daily . What happen to the i
madreJ [45]

Answer:

C. It will increase by about 0.6%

Step-by-step explanation:

Since, the effective interest rate is,

r=(1+\frac{i}{n} )^{n} -1

Where, i is the stated interest rate,

n is the number of compounding periods,

Here, i = 11.28 % = 0.1128,

n = 365  ( 1 year = 365 days ),

Hence, the effective interest rate would be,

r=(1+\frac{0.1128}{365})^{365}  -1

=0.119388521952

Now, the changes in effective interest rate = Effective interest rate - Stated interest rate

= 0.119388521952 - 0.1128

= 0.006588521952 ≈ 0.006 = 0.6 %  

Hence, It will increased by about 0.6 %,

Option A is correct.

Hope this helps :)

7 0
3 years ago
a computer store bought a program at a cost of $20 and sold it at a selling price$26. what is the percent markup
tekilochka [14]

it would be a 6 percent mark up :)

8 0
3 years ago
Last year, Gena’s food cart business was $225 in debt. This year, the debt has tripled. Which expressions show how much Gena’s b
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Answer:

B and E

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Shelby earns $190 per week at her part time job and she spends $15.20 each week eating at the local fast food restaurant. What p
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3 years ago
A car insurance company has high-risk, medium-risk, and low-risk clients, who have, respectively, probabilities .04, .02, and .0
Paha777 [63]

Answer:

(a) 0.983

(b) 0.353 or 35.3%

(c) 0.604 or 60.4%

Step-by-step explanation:

a) The probability of a random client does not file a claim is equal to the sum of:

1) the probability of a client being high risk and does not file a claim = P(hr)*(1-P(c_hr))

2) the probability of a client being medium risk and does not file a claim = P(mr)*(1-P(c_mr))

and

3) the probability of a client being low risk and does not file a claim = P(lr)*(1-P(c_lr))

P(not claim) = P(hr)*(1-P(c_hr))+P(mr)*(1-P(c_mr))+P(lr)*(1-P(c_lr))

P(not claim) = 0.15*(1-0.04)+0.25*(1-0.02)+0.6*(1-0.01)

P(not claim) = 0.15*0.96+0.25*0.98+0.6*0.99 = 0.983

(b) To know the proportion of claims that come from high risk clients we need to know the total expected claims in every category:

Claims expected by high risk clients = P(c_hr)*P(hr) = 0.04*0.15 = 0.006 claims/client

Claims expected by medium risk clients = P(c_mr)*P(mr) = 0.02*0.25 = 0.005 claims/client

Claims expected by low risk clients = P(c_lr)*P(lr) = 0.01*0.60 = 0.006 claims/client

The proportion of claims done by high risk clients is

Claims by HR clients / Total claims expected = 0.006 / (0.006+0.005+0.006) =  0.006 / 0.017 = 0.3529 or 35,3%

(c)  The probability of being a client of a particular category and who don't file a claim is:

1) High risk: 0.15*(1-0.04) = 0.144

2) Medium risk: 0.25*(1-0.02) =  0.245

3) Low risk: 0.6*(1-0.01) = 0.594

The probability that a random client who didn't file a claim is low- risk can be calculated as:

Probability of being low risk and don't file a claim / Probability of not filing a claim

P(LR&not claim)/P(not claim) = 0.594 / (0.144+0.245+0.594)

P(LR&not claim)/P(not claim) = 0.594 /  0.983 = 0.604 or 60.4%

6 0
2 years ago
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