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Gnoma [55]
3 years ago
7

Write a polynomial equation of degree 3 such that two of its roots are 2 and an imaginary number.

Mathematics
2 answers:
Alona [7]3 years ago
8 0

Answer:

The required polynomial is x^3-2x^2+x-2        

Step-by-step explanation:

Given : A polynomial equation of degree 3 such that two of its roots are 2 and an imaginary number.

To find : The equation of polynomial with degree 3.

Solution :

It is given that the equation has 3 roots one is 2 and othe is imaginary.

So, one root 2 = (x-2)

Let the other two roots are imaginary i, -i

⇒ (x-i),(x+i)

Therefore, the roots of the polynomial of degree 3

(x-2)(x-i)(x+i)

Now, we solve the roots to find the equation,

\Rightarrow(x-2)(x^2+xi-xi-i^2)

\Rightarrow(x-2)(x^2+i^2)  [i^2=-1]

\Rightarrow(x^3+x-2x^2-2)

\Rightarrow x^3-2x^2+x-2  

Therefore, the required polynomial is x^3-2x^2+x-2  

Sveta_85 [38]3 years ago
5 0
 hope you get it 

X^3-2x^2+ x-2

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Read 2 more answers
Data collected at Toronto Pearson International Airport suggests that an exponential distribution with mean value 2725hours is a
Ivan

Answer:

a) What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?

We want this probability"

P(X >2) = 1-P(X\leq 2) = 1-(1- e^{-0.367 *2})=e^{-0.367 *2}= 0.48

At most 3 hours?

P(X \leq 3) = F(3) = 1-e^{-0.367*3}= 1-0.333 =0.667

b) What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?

P(X > 2.725 + 2*5.540) = P(X>13.62) = 1-P(X

What is the probability that it is less than the mean value by more than one standard deviation?

P(X

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

P(X=x)=\lambda e^{-\lambda x}

The cumulative distribution for this function is given by:

F(X) = 1- e^{-\lambda x}, x\ geq 0

We know the value for the mean on this case we have that :

mean = \frac{1}{\lambda}

\lambda = \frac{1}{Mean}= \frac{1}{2.725}=0.367

Solution to the problem

Part a

What is the probability that the duration of a particular rainfall event at this location is at least 2 hours?

We want this probability"

P(X >2) = 1-P(X\leq 2) = 1-(1- e^{-0.367 *2})=e^{-0.367 *2}= 0.48

At most 3 hours?

P(X \leq 3) = F(3) = 1-e^{-0.367*3}= 1-0.333 =0.667

Part b

What is the probability that rainfall duration exceeds the mean value by more than 2 standard deviations?

The variance for the esponential distribution is given by: Var(X) =\frac{1}{\lambda^2}

And the deviation would be:

Sd(X) = \frac{1}{\lambda}= \frac{1}{0.367}= 2.725

And the mean is given by Mean = 2.725

Two deviations correspond to 5.540, so we want this probability:

P(X > 2.725 + 2*5.540) = P(X>13.62) = 1-P(X

What is the probability that it is less than the mean value by more than one standard deviation?

For this case we want this probablity:

P(X

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