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GuDViN [60]
1 year ago
5

Suppose that X is a random variable that has a binomial uncertainty distribution with parameters n = 10 and π = 0.4. Calculate t

he numerical value of the probability that X = 6. What are the numerical values of the mean and standard deviation of the uncertainty distribution?

Mathematics
1 answer:
swat321 year ago
8 0

The numerical values of the mean and standard deviation are 4 and 1.55, respectively

<h3>The numerical value of the probability that x = 6. </h3>

The given parameters are:

n = 10

π = 0.4

The probability is then calculated as:

P(x) = ^nC_x * \pi^x *(1-\pi)^{n-x}

So, we have:

P(6) = ^{10}C_6 * 0.4^6 *(1-0.4)^4

Apply the combination formula

P(6) = \frac{10!}{6!4!} * 0.4^6 *0.6^4

So, we have:

P(6) = 210 * 0.4^6 *0.6^4

Evaluate

P(6) = 0.1115

Hence, the numerical value of the probability that x = 6 is 0.1115

<h3>The numerical values of the mean and standard deviation </h3>

The mean value is:

\bar x = n\pi

This gives

\bar x = 10 * 0.4

\bar x = 4

The standard deviation value is:

\sigma = \sqrt{\bar x(1-\pi)

This gives

\sigma = \sqrt{4(1-0.4)

\sigma = 1.55

Hence, the numerical values of the mean and standard deviation are 4 and 1.55, respectively

Read more about mean and standard deviation at:

brainly.com/question/16030790

#SPJ1

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Answer: 5225472000

Step-by-step explanation:

Given : The number of bulls = 6

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Since Aidan needs to place them in a line of 16 paddocks, and the bulls cannot be placed in adjacent paddocks .

Also there are two ways to arrange the group pf bulls and horses.

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Compute the odds in favor of obtaining a number divisible by 5 in a single roll of a die.
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Answer:

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So, the probability of rolling a number divisible by 5 is 1/6.

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The following probability distributions of job satisfaction scores for a sample of information systems (IS) senior executives an
Mashcka [7]

Answer:

Step-by-step explanation:

To calculate ;

1) the expected value of the job satisfaction score for senior executives ;

expected value = Summation (Px)

= 1 x 0.05 + 2 x 0.09 + 3 x 0.03 + 4 x 0.42 + 5 x 0.41

= 4.05

2) the expected value of the job satisfaction score for middle managers;

= 1 x 0.04 + 2 x 0.10 + 3 x 0.12 + 4 x 0.46 + 5 x 0.28

= 3.84

c) the variance of job satisfaction scores for executives and middle managers (to 2 decimals).

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i) For Executive Managers = 1 x 0.05 + 2^2 x 0.09 + 3^2 x 0.03 + 4^2 x 0.42 + 5^2 x 0.41 - 4.05^2 = 1.246 = 1.25

ii) for middle managers ; 1 x 0.04 + 2^2 x 0.10 + 3^2 x 0.12 + 4^2 x 0.46 + 5^2 x 0.28 - 3.84^2 = 1.134 = 1.13

d) the standard deviation of job satisfaction scores for both probability distributions (to 2 decimals). Executives, Middle managers;

For Executives = square root [ 1 x 0.05 + 2^2 x 0.09 + 3^2 x 0.03 + 4^2 x 0.42 + 5^2 x 0.41 - 4.05^2] = 1.12

For Middle Managers ; Square root [1 x 0.04 + 2^2 x 0.10 + 3^2 x 0.12 + 4^2 x 0.46 + 5^2 x 0.28 - 3.84^2 ] = 1.06

e) from the values gotten for the variance of both executive and middle managers, the variance of the former is more than that of the latter as such higher satisfaction with the executive managers.

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Answer:

  (z, v)

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When the sides of the rectangle align with the axes, as here, the coordinates will be all (x, y) combinations from the sets x ∈ {w, z) and y ∈ {v, z}. Three of those combinations are shown. The fourth is (z, v).

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