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Salsk061 [2.6K]
3 years ago
7

the simple intrest earned on $500,000 invested for eighteen months is $90,000 what was the interest rate?​

Mathematics
2 answers:
kvv77 [185]3 years ago
7 0

Answer:

am comin to you I going to work it

Black_prince [1.1K]3 years ago
6 0
12% interest. since 500,000 x 1.12 every year, and the length was 18 months, 500,000 x 1.18 = 90,000 after eighteen months.

☺️
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Need help on this baldy plzz anyone.♥
AURORKA [14]
The answer is 24 
subtract 156 from 180
108-156=24
5 0
3 years ago
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......... my algebra....
dsp73

The graph represents a function but the table does not. The reason for this is that one input value (70) in the table is associated with two output values (54.6 and 53.11), which is a sure sign that we do NOT have a function here.

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3 years ago
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If angle 2 is 97 what is the measurement of angle 1
Angelina_Jolie [31]

Answer:

83

Step-by-step explanation:

The total angle of a flat line is 180. If you subtract the angle of 2 from 180 you get 83 which is the angle of 1.

8 0
3 years ago
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A certain kind of sheet metal has, on average, 3 defects per 18 square feet. Assuming a Poisson distribution, find the probabili
Fofino [41]

Answer:

75.8% probability that a 31 square foot metal sheet has at least 4 defects.

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given time interval.

In this problem, we have that:

3 defects per 18 square feet.

So for 31 square feet, we have to solve a rule of three

3 defects - 18 square feet

x defects - 31 square feet

18x = 3*31

x = \frac{31*3}{18}

x = 5.17

So \mu = 5.17

Assuming a Poisson distribution, find the probability that a 31 square foot metal sheet has at least 4 defects.

Either it has three or less defects, or it has at least 4 defects. The sum of the probabilities of these events is decimal 1.

So

P(X \leq 3) + P(X \geq 4) = 1

We want P(X \geq 4)

So

P(X \geq 4) = 1 - P(X \leq 3)

In which

P(X \leq 3) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3)

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 0) = \frac{e^{-5.17}*(5.17)^{0}}{(0)!} = 0.0057

P(X = 1) = \frac{e^{-5.17}*(5.17)^{1}}{(1)!} = 0.0294

P(X = 2) = \frac{e^{-5.17}*(5.17)^{2}}{(2)!} = 0.0760

P(X = 3) = \frac{e^{-5.17}*(5.17)^{3}}{(3)!} = 0.1309

So

P(X \leq 3) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) = 0.0057 + 0.0294 + 0.0760 + 0.1309 = 0.242

Finally

P(X \geq 4) = 1 - P(X \leq 3) = 1 - 0.242 = 0.758

75.8% probability that a 31 square foot metal sheet has at least 4 defects.

8 0
3 years ago
If two polygons are similar, must they also be congruent?
NISA [10]

Answer:

I think No

Explanation:

We say two figures are similar if they have the same shape, but not necessarily the same size. <u>If they also have the same size</u>, we say they are congruent.

<h2>hope \: this \: helps</h2>

4 0
3 years ago
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