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yaroslaw [1]
3 years ago
10

How many hundreds tens and ones have 423

Mathematics
2 answers:
Gnom [1K]3 years ago
7 0
Four hundreds two tens and three ones
EleoNora [17]3 years ago
6 0
Four 100's , two 10's , a three 1's .
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Answer: 5 1/4

Step-by-step explanation:

8/3 + 2 7/12

8/3 + 31/12

= 21/4

= 5 1/4

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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
3 years ago
Draw three circles with centre 0 and the radii of 3cm, 5cm and 7cm respectively ​
MrMuchimi
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2 years ago
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