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BARSIC [14]
2 years ago
12

In this problem we will be dealing with the probability density function (pdf) associated with a continuous random variable, X.

Remember that the pdf is basically a function that assigns a probability density to the event of X taking a value x in the domain of X, with following two properties:
1 f(x) > 0, for all x
2 f(x) dx = 1.
f(x) does not give us the exact probability of X to take value x. Since the size of the domain of X is infinite, you cannot calculate the probability. Instead, you can calculate the probability of X to lie within a range:
Pr(a < X < b) = - / sa f(x) dx
Consider the following pdf function: 6x(1 – x) if 0 < x < 1,
f(x) = 0 otherwise. Calculate the probability of P(0.3 < X < 0.7)
a) 0.784
b) 0.568
c) 0.216
d) -0.568
Mathematics
1 answer:
konstantin123 [22]2 years ago
3 0

Answer:

b)\ 0.568

Step-by-step explanation:

Given

f(x) = 6x(1- x);\ 0 \le x \le 1

Required

P(0.3 < x < 0.7)

From the question, we have:

P(a < x < b) = \int\limits^b_a {f(x)} \, dx

So, we have:

P(0.3 < x < 0.7) = \int\limits^{0.7}_{0.3} {6x(1 - x)} \, dx

Open bracket

P(0.3 < x < 0.7) = \int\limits^{0.7}_{0.3} {6x - 6x^2} \, dx

Integrate

P(0.3 < x < 0.7) =  \frac{6x^2}{2} - \frac{6x^3}{3}}|\limits^{0.7}_{0.3}

P(0.3 < x < 0.7) =  3x^2 - 2x^3|\limits^{0.7}_{0.3}

Substitute 0.7 and 0.3 for x

P(0.3 < x < 0.7) =  (3*0.7^2 - 2*0.7^3) - (3*0.3^2 - 2*0.3^3)

Using a calculator, we have:

P(0.3 < x < 0.7) =  (0.784) - (0.216)

Remove brackets

P(0.3 < x < 0.7) =  0.784 - 0.216

P(0.3 < x < 0.7) =  0.568

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8 0
3 years ago
One year had the lowest ERA​ (earned-run average, mean number of runs yielded per nine innings​ pitched) of any male pitcher at
lord [1]

Answer:

Thomas had the better year relative to their​ peers.

Step-by-step explanation:

<u>The complete question is</u>: One year Thomas had the lowest ERA​ (earned-run average, mean number of runs yielded per nine innings​ pitched) of any male pitcher at his​ school, with an ERA of 3.31. ​Also, Karla had the lowest ERA of any female pitcher at the school with an ERA of 3.02. For the​ males, the mean ERA was 4.837 and the standard deviation was 0.541. For the​ females, the mean ERA was 4.533 and the standard deviation was 0.539. Find their respective​ z-scores. Which player had the better year relative to their​ peers, or ​? ​(Note: In​ general, the lower the​ ERA, the better the​ pitcher.)

We are given that for the​ males, the mean ERA was 4.837 and the standard deviation was 0.541. For the​ females, the mean ERA was 4.533 and the standard deviation was 0.539.

As, we know that the z-score is calculated by the following formula;

                                 Z  =  \frac{X-\mu}{\sigma} ~ N(0,1)

where, \mu = population mean

           \sigma = standard deviation

Now, firstly we will calculate the z score for Thomas;

z-score = \frac{X-\mu}{\sigma}

            = \frac{3.31-4.837}{0.541}  = -2.823

{Here, the mean ERA for the males was 4.837 and the standard deviation was 0.541}

Similarly, we will calculate the z score for Karla;

z-score = \frac{X-\mu}{\sigma}

            = \frac{3.02-4.533}{0.539}  = -2.807

{Here, the mean ERA for the females was 4.533 and the standard deviation was 0.539}

Now, it is stated in the question that the lower the​ ERA, the better the​ pitcher.

So, we can clearly see that Thomas had a lower ERA of z-score as -2.823 < -2.807. This means that Thomas had the better year relative to their​ peers.

5 0
3 years ago
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vodomira [7]

Answer:

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Step-by-step explanation:

Aquí, queremos saber el número de bolas que se deben sacar para estar seguros de haber extraído al menos dos bolas del mismo color.

De la pregunta, hay 6 tipos y 5 tipos de bolas diferentes. Así que en caso de que saquemos 6 veces y tuviéramos las mismas bolas, estaríamos seguros de que en el séptimo sorteo estaremos cogiendo una bola de otro color ya que hemos agotado el número de bolas del primer tipo y nos queda solo con las bolas del segundo tipo.

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Answer:

965.11

Step-by-step explanation:

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7 0
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Mrac [35]

Answer

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3 0
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