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jeka57 [31]
3 years ago
14

Suppose Brandi buys a CD for $1000 that earns 3% APR and is compounded

Mathematics
2 answers:
Dominik [7]3 years ago
4 0

Answer:

$1061.76

Step-by-step explanation:

A P E X.

Dovator [93]3 years ago
3 0

Answer:

$1,061.76

Step-by-step explanation:

(refer to attached handout)

For compound interest, you are given:

A = ? (need to find)

P = $1000

r = 3% = 0.03

n = compounded monthly = 12 times per year

t = 2 years

(substituting this into the formula)

A = P [  1 + (r/n) ] ^(nt)

A = 1000 [  1 + (0.03/12) ] ^[(12)(2)]

A = 1000 [  1 + 0.0025 ] ^24

A = 1000 [  1.0025 ] ^24

A = 1,061.76

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Natasha2012 [34]

Answer:

The other dimension of the sandbox must be (4x+3).

Hope this helps! Have a good day!

6 0
2 years ago
A manufacturer of Christmas light bulbs knows that 10% of these bulbs are defective. It is known that light bulbs are defective
Inessa05 [86]

Answer:

(a) P(X \leq 20) = 0.9319

(b) Expected number of defective light bulbs = 15

Step-by-step explanation:

We are given that a manufacturer of Christmas light bulbs knows that 10% of these bulbs are defective. It is known that light bulbs are defective independently. A box of 150 bulbs is selected at random.

Firstly, the above situation can be represented through binomial distribution, i.e.;

P(X=r) = \binom{n}{r} p^{r} (1-p)^{2} ;x=0,1,2,3,....

where, n = number of samples taken = 150

            r = number of success

           p = probability of success which in our question is % of bulbs that

                  are defective, i.e. 10%

<em>Now, we can't calculate the required probability using binomial distribution because here n is very large(n > 30), so we will convert this distribution into normal distribution using continuity correction.</em>

So, Let X = No. of defective bulbs in a box

<u>Mean of X</u>, \mu = n \times p = 150 \times 0.10 = 15

<u>Standard deviation of X</u>, \sigma = \sqrt{np(1-p)} = \sqrt{150 \times 0.10 \times (1-0.10)} = 3.7

So, X ~ N(\mu = 15, \sigma^{2} = 3.7^{2})

Now, the z score probability distribution is given by;

                Z = \frac{X-\mu}{\sigma} ~ N(0,1)

(a) Probability that this box will contain at most 20 defective light bulbs is given by = P(X \leq 20) = P(X < 20.5)  ---- using continuity correction

    P(X < 20.5) = P( \frac{X-\mu}{\sigma} < \frac{20.5-15}{3.7} ) = P(Z < 1.49) = 0.9319

(b) Expected number of defective light bulbs found in such boxes, on average is given by = E(X) = n \times p = 150 \times 0.10 = 15.

                                           

5 0
3 years ago
Solve. −4.2y+2.1&gt;−2.52 Drag and drop a number or symbol into each box to show the solution.
Daniel [21]
Given problem is -4.2y+2.1>-2.52.
To solve this, we combine numbers by transposing -2.52 to the left side and transposing variable term in the right side as shown below:
2.1+2.52>4.2y
Perform addition of values 2.1 and 2.52, 
4.62>4.2y
Then, divide both sides with 4.2 and the result is 1.1>y.
The answer is y<1.1.


6 0
3 years ago
A+B =90 and sin a = 3/5 find cos B
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Idk Thai is for me to get points

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Write 1,334,457. in 12 expanded form
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1,000,000+3000,000+30,000+4,000+400+50+7
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