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Llana [10]
3 years ago
15

4:×=28:42 ( pls send me photo of this ans)​

Mathematics
1 answer:
PilotLPTM [1.2K]3 years ago
3 0

Answer:

4:x = 28:42

x × 28 = 4 × 42

28x = 168

x = 168/28

x = 6

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Dafna1 [17]

Answer:

none

Explanation:

Fill in each option for x individually.

I)     9 \leq -10 - 4(-1)  

II)    9 \leq -10 - 4(-3)  

III)   9 \leq -10 - 4(-2)

Then, simplify the right side of each inequality.

I)    9 \leq -6

II)   9 \leq 2

III)  9 \leq -2

Each of these inequalities are flase. 9 is not less than or equal to any of these values, so the answer is none.

3 0
2 years ago
HELP PLEASE!!!<br><br> I need to find the radius, diameter, circumference, and the area of 10in
kotegsom [21]

Answer:

the radius is 10

the diameter is 20

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2 years ago
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using data from 2010 and projected to 2020, the population of the United Kingdom (y, in millions) can be approximated by the equ
natita [175]

Answer:

The projected population in 2026 is of 699.3 million.

Step-by-step explanation:

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The population, in x years after 2000, is given by the follwing equation:

y - 4.55x = 581

That is:

y(x) = 4.55x + 581

What is projected population in 2026?

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B=1/4

Ninringrinrinveoj cknnfevk;Kent vie;Devi
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2 years ago
Let x denote the lifetime of a mcchine component with an exponential distribution. The mean time for the component failure is 25
aliina [53]

Answer:

0.1353 = 13.53% probability that the lifetime exceeds the mean time by more than 1 standard deviations

Step-by-step explanation:

Exponential distribution:

The exponential probability distribution, with mean m, is described by the following equation:

f(x) = \mu e^{-\mu x}

In which \mu = \frac{1}{m} is the decay parameter.

The probability that x is lower or equal to a is given by:

P(X \leq x) = \int\limits^a_0 {f(x)} \, dx

Which has the following solution:

P(X \leq x) = 1 - e^{-\mu x}

The probability of finding a value higher than x is:

P(X > x) = 1 - P(X \leq x) = 1 - (1 - e^{-\mu x}) = e^{-\mu x}

The mean time for the component failure is 2500 hours.

This means that m = \frac{2500}, \mu = \frac{1}{2500} = 0.0004

What is the probability that the lifetime exceeds the mean time by more than 1 standard deviations?

The standard deviation of the exponential distribution is the same as the mean, so this is P(X > 5000).

P(X > x) = e^{-0.0004*5000} = 0.1353

0.1353 = 13.53% probability that the lifetime exceeds the mean time by more than 1 standard deviations

4 0
2 years ago
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