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MA_775_DIABLO [31]
3 years ago
9

Round 990.54 nearest hundred​

Mathematics
1 answer:
Anuta_ua [19.1K]3 years ago
7 0

Answer:

991 is the correct answer

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What is the value of x in the figure below
DanielleElmas [232]

Answer:

x=9

Step-by-step explanation:

3x+9=35

3x+9-9=35-9

3x=27

3x/3=27/3

x=9

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2 years ago
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Can you help me and give me the snow you got the answer right everything down
ExtremeBDS [4]
1. 2/100 as a percent is 2% and as a decimal it is 0.02

3. 9/10 as a percent is 90% and as a decimal it is 0.9

5. 48% as a decimal is 0.48 and as a fraction is 48/100

7. 0.04 as a percent is 4/100 and as a percent of is 4%

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Question 14
MissTica

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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
How much does a whole herd of yak’s weight?<br> A.) 33 ounces <br> B.) 33 pounds<br> C.) 33 tons
sveticcg [70]

Answer:

the answer would be 33 tons

8 0
3 years ago
Read 2 more answers
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