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Ksivusya [100]
3 years ago
9

from 1956 to 1966 the number of automobiles in the country increased at an annual rate of 6.65 percent. what is the doubling tim

e for growth in automobiles in the US?
Mathematics
1 answer:
NeTakaya3 years ago
4 0
A= P(1+i)ⁿ ,

where A is the value generated after a time " n" at an interest rate of i (in %).

When A = 2.P ?

Replace in the formula: 2.P = P(1+0.0665)ⁿ , after simplification by P, we get 

2= (1+0.0665)ⁿ

To calculate n, let' use ln (Neperian logarithm)
ln(2) = n.ln(1.0665) and

n=(ln2)/(ln(1.0665)  and  n=10.76 years , 

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JulsSmile [24]

The answer is A. I hope this helps, have a great day!

4 0
3 years ago
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Plz help with math and show your work
Inga [223]
26.   2x^2 +4x -10 = 0       (-4 + - (root(4^2 - 4*2*-10)))/2*2   =  
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(-4 -  (root(96)))/4  ≈  -3.45

27. f(x) = 0 when any of the components that multiply together equal 0 for this function therefore   x -2 = 0    x +3 = 0    x -5 = 0   so   f(x) = 0 when x = 2, -3 or 5 


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3 years ago
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7 0
3 years ago
A programmer plans to develop a new software system. In planning for the operating system that he will​ use, he needs to estimat
Vedmedyk [2.9K]

Using the z-distribution, we have that:

a) A sample of 601 is needed.

b) A sample of 93 is needed.

c) A.  ​Yes, using the additional survey information from part​ (b) dramatically reduces the sample size.

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of \alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which z is the z-score that has a p-value of \frac{1+\alpha}{2}.

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

95% confidence level, hence\alpha = 0.95, z is the value of Z that has a p-value of \frac{1+0.95}{2} = 0.975, so z = 1.96.

For this problem, we consider that we want it to be within 4%.

Item a:

  • The sample size is <u>n for which M = 0.04.</u>
  • There is no estimate, hence \pi = 0.5

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.04 = 1.96\sqrt{\frac{0.5(0.5)}{n}}

0.04\sqrt{n} = 1.96\sqrt{0.5(0.5)}

\sqrt{n} = \frac{1.96\sqrt{0.5(0.5)}}{0.04}

(\sqrt{n})^2 = \left(\frac{1.96\sqrt{0.5(0.5)}}{0.04}\right)^2

n = 600.25

Rounding up:

A sample of 601 is needed.

Item b:

The estimate is \pi = 0.96, hence:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.04 = 1.96\sqrt{\frac{0.96(0.04)}{n}}

0.04\sqrt{n} = 1.96\sqrt{0.96(0.04)}

\sqrt{n} = \frac{1.96\sqrt{0.96(0.04)}}{0.04}

(\sqrt{n})^2 = \left(\frac{1.96\sqrt{0.96(0.04)}}{0.04}\right)^2

n = 92.2

Rounding up:

A sample of 93 is needed.

Item c:

The closer the estimate is to \pi = 0.5, the larger the sample size needed, hence, the correct option is A.

For more on the z-distribution, you can check brainly.com/question/25404151  

8 0
2 years ago
The owner of a local restaurant surveyed her staff on their preference of uniform color. The results are displayed in the table
nignag [31]

Answer:

A is the answer - sample 1 and sample 2 are most representative because they are the same answer.  

Step-by-step explanation:

3 0
3 years ago
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