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Ksenya-84 [330]
3 years ago
12

X2 + 24x + 141.5 = 0

Mathematics
1 answer:
Tasya [4]3 years ago
4 0

Answer

x =(24-√816)/2=12-2√ 51 = -2.283

x =(24+√816)/2=12+2√ 51 = 26.283

Step-by-step explanation:

(Same thing)

x =(24-√816)/2=12-2√ 51 = -2.283

x =(24+√816)/2=12+2√ 51 = 26.283

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Is √20 a rational or irrational number ?explain how you know
Nadusha1986 [10]
The square root of 20 is irrational.
42 is 16, less than 20 and 52 is 25, more than 20.
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3 years ago
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The tread life of a particular brand of tire is a random variable best described by a normal distribution with a mean of 60,000
mel-nik [20]

Answer:

0.018 is the required probability.              

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 60,000 miles

Standard Deviation, σ = 1500 miles

We are given that the distribution of tread life is a bell shaped distribution that is a normal distribution.

Formula:

z_{score} = \displaystyle\frac{x-\mu}{\sigma}

P(brand will last between 56,850 miles and 57,300 miles)

P(56850 \leq x \leq 57300) = P(\displaystyle\frac{56850 - 60000}{1500} \leq z \leq \displaystyle\frac{57300-60000}{1500}) = P(-2.1 \leq z \leq -1.8)\\\\= P(z \leq -1.8) - P(z < -2.1)\\= 0.0359 - 0.0179 = 0.018= 1.8\%

P(56850 \leq x \leq 57300) = 1.8\%

0.018 is the probability a certain tire of this brand will last between 56,850 miles and 57,300 miles.

7 0
3 years ago
Find the probability of not rolling factors of 6 on both dice
devlian [24]
1/6 is the probability
7 0
4 years ago
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The length of time for one individual to be served at a cafeteria is a random variable having an exponential distribution with a
irga5000 [103]

Answer:

P(Y \geq 5)= 0.0729+0.0158+0.00146=0.0902

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Let X the random variable of interest, on this case we now that:

X \sim Binom(n, p)

The probability mass function for the Binomial distribution is given as:

P(X)=(nCx)(p)^x (1-p)^{n-x}

Where (nCx) means combinatory and it's given by this formula:

nCx=\frac{n!}{(n-x)! x!}

Solution to the problem

Let Y the random variable that represent the lenght of time for one individual to be served at the cafeteria. We know from the probalem that Y\sim exp(\mu=4)

On this case the probability density function would be given by:

f(y) =\frac{1}{4} e^{-\frac{y}{4}}, y\geq 0

And 0 for other case. In order to solve this problem we need to fidn first the probability that a person would be served in less than 2 minutes. And in order to find it we need to find the cumulative distribution function integrating the density function like this:

P(Y \leq 2) = \int_{0}^3 f(y) dy

=\int_{0}^3 \frac{1}{4}e^{-\frac{y}{4}} dy

=-e^{-\frac{y}{4}} \Big|_0^2 \ =1-e^{-\frac{2}{4}}=1-e^{-\frac{1}{2}}=0.3935

And with this probability we can find the probability that a person would be served in less than 2 minutes on at least 5 of the next 7 days.

And on this case we can use the binomial distribution, and we want this probability:

P(Y \geq 5)= P(Y=5) +P(Y=6) +P(Y=7)

We can find the individual probabilities like this:

P(Y=5)=(7C5)(0.3935)^5 (1-0.3935)^{7-5}=0.0729

P(Y=6)=(7C6)(0.3935)^6 (1-0.3935)^{7-6}=0.0158

P(Y=7)=(7C7)(0.3935)^7 (1-0.3935)^{7-7}=0.00146

P(Y \geq 5)= 0.0729+0.0158+0.00146=0.0902

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4 years ago
Find the conjugate and product of i3 + i7
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Complex conjugate: 2i

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