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pentagon [3]
3 years ago
5

9 + 4[(4 + 2)3 - (32 + 2)]

Mathematics
1 answer:
Lubov Fominskaja [6]3 years ago
3 0

Answer:

-55

Step-by-step explanation:

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4 years ago
The length of time for one individual to be served at a cafeteria is an exponential random variable with mean of 6 minutes. Assu
denis-greek [22]

Answer:

43.46% probability that the person will need to wait at least 9 minutes total

Step-by-step explanation:

To solve this question, we need to understand conditional probability and the exponential distribution.

Conditional probability:

We use the conditional probability formula to solve this question. It is

P(B|A) = \frac{P(A \cap B)}{P(A)}

In which

P(B|A) is the probability of event B happening, given that A happened.

P(A \cap B) is the probability of both A and B happening.

P(A) is the probability of A happening.

Expontial 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}

In this question:

Event A: Waited at least 4 minutes.

Event B: Waiting at least 9 minutes.

The length of time for one individual to be served at a cafeteria is an exponential random variable with mean of 6 minutes.

This means that m = 6, \mu = \frac{1}{6}

Probability of waiting at least 4 minutes.

P(A) = P(X \geq 4) = P(X > 4)

P(A) = P(X > 4) = e^{-\frac{4}{6}} = 0.5134

Intersection:

The intersection between a waiting time of at least 4 minutes and a waiting time of at list 9 minutes is a waiting time of 9 minutes. So

P(A \cap B) = P(X > 9) = e^{-\frac{9}{6}} = 0.2231

What is the probability that the person will need to wait at least 9 minutes total

P(B|A) = \frac{0.2231}{0.5134} = 0.4346

43.46% probability that the person will need to wait at least 9 minutes total

8 0
4 years ago
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