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Scorpion4ik [409]
3 years ago
15

91 more than the square of a number

Mathematics
1 answer:
abruzzese [7]3 years ago
5 0
91+ n squared (Squared mean to the power of 2)
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Need help!! I can't figure this out
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9514 1404 393

Answer:

  12. $1,035,057.23

  13. $988,881.23

  14. $7,762.93

  15. $8,686.16

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Step-by-step explanation:

The annuity and amortization formulas are used for problems like this.

  sum of monthly payments = P((1 +r/12)^(12t) -1)/(r/12)

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12. The sum of monthly payments of 74, accumulated at 9% compounded monthly for 52 years is ...

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13. The total of payments is ...

  $74×12×52 = $46,176

So, the interest earned is ...

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14. The amount available in perpetuity is the monthly interest on this account balance.

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15. The monthly amount available for 25 years is found from the amortization formula:

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16. The amortization formula is used for this, too.

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7 0
2 years ago
Sarah purchased a car that was on sale for 3/4 of the original price .if the original price was 6000, what was the price that Sa
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So you do 3/4 divided by 6000 which make the thing switches and so you make 4/3 times by 6000 equals to your answers so you gotten 24,000 dividend it by 3 so you get will get.



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4 0
3 years ago
Each year, more than 2 million people in the United States become infected with bacteria that are resistant to antibiotics. In p
Olegator [25]

Answer:

Reject <em>H</em>₀. There is a significant difference in drug resistance between the two states.

Step-by-step explanation:

In this case we need to determine whether the data suggest a statistically significant difference between the proportions of drug-resistant cases in the two states.

The significance level of the test is, <em>α</em> = 0.02.

(1)

The hypothesis can be defined as follows:  

<em>H</em>₀: There is no difference between the proportions of drug-resistant cases in the two states, i.e. p_{1} - p_{2}=  0.  

<em>Hₐ</em>: There is a statistically significant difference between the proportions of drug-resistant cases in the two states, i.e. p_{1} - p_{2}\neq  0.  

(2)

Compute the sample proportions and total proportion as follows:

\hat p_{1}=\frac{12}{189}=0.063\\\\\hat p_{2}=\frac{8}{429}=0.019\\\\\hat p=\frac{12+8}{189+429}=0.032\\

Compute the test statistic value as follows:

Z=\frac{\hat p_{1}-\hat p_{2}}{\sqrt{\hat p(1-\hat p)\times [\frac{1}{n_{1}}+\frac{1}{n_{2}}]}}

   =\frac{0.063-0.019}{\sqrt{0.032(1-0.032)\times [\frac{1}{189}+\frac{1}{429}]}}\\\\=2.86

The test statistic value is 2.86.

(3)

The decision rule is:

The null hypothesis will be rejected if the p-value of the test is less than the significance level.

Compute the p-value as follows:

p-value=2\cdot P(Z>2.86)=2\times 0.00212=0.00424

<em>p</em>-value = 0.00424 < <em>α</em> = 0.02.

The null hypothesis will be rejected at 0.02 significance level.

Reject <em>H</em>₀. There is a significant difference in drug resistance between the two states.

7 0
3 years ago
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