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tester [92]
2 years ago
5

The probability distribution of the number of loaves of bread sold in a bakery in a week based on past data is given below. Iden

tify the expected number of loaves of bread sold for one week.
Number of Loaves, n: 100 148 135 200
Prob. of n Loaves: 0.25 0.36 0.21 0.18
Mathematics
1 answer:
Tpy6a [65]2 years ago
4 0

Answer:

E(X) = 100*0.25+ 148*0.36 + 135*0.21 + 200*0.18 = 142.63

And for this case the expected value for this random variable is given by 142.63 and rounded to the nearest integer we got 143. And that  represent the number of loaves of bread sold for one week

Step-by-step explanation:

For this case we have the following distirbution given:

X:      100   148   135   200

P(X): 0.25 0.36   0.21  0.18

The expected value is given by:

E(X) = \sum_{i=1}^n X_i P(X_i)

And replacing we got:

E(X) = 100*0.25+ 148*0.36 + 135*0.21 + 200*0.18 = 142.63

And for this case the expected value for this random variable is given by 142.63 and rounded to the nearest integer we got 143. And that  represent the number of loaves of bread sold for one week

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When trying to solve for the cost of each item you will find a rainbow fish is $8.50 and a tetra is $2.50. If you use that information to solve the other answer choices C, D, and E would be correct

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Step-by-step explanation:

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<h3>Area of each triangle:</h3>

From the figure, we know that <em>b = 20ft </em>and <em>h = 25ft. </em>So, the area would be:

A_{t}=\frac{b.h}{2}=\frac{(20ft)(25ft)}{2}=250ft^{2}

<h3>Area of each circular section:</h3>

From the figure, we know that \alpha =2.21 radians and the radius is R=30ft. So, the are would be calculated with this formula:

A_{cs}=\frac{\pi R^{2}\alpha}{360\°}

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A_{cs}=\frac{(3.14)(30ft)^{2}(2.21radians)}{6.28radians}

Remember that 360\°=6.28radians

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A_{total}=2A_{t}+2A{cs}=2(250ft^{2} )+2(994.5ft^{2})\\A_{total}=500ft^{2} + 1989ft^{2}=2489ft^{2}

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2 years ago
The probability that a call received by a certain switchboard will be a wrong number is 0.02. Use the Poisson distribution to ap
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Answer:

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Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given interval.

The probability that a call received by a certain switchboard will be a wrong number is 0.02.

150 calls. So:

\mu = 150*0.02 = 3

Use the Poisson distribution to approximate the probability that among 150 calls received by the switchboard, there are at least two wrong numbers.

Either there are less than two calls from wrong numbers, or there are at least two calls from wrong numbers. The sum of the probabilities of these events is 1. So

P(X < 2) + P(X \geq 2) = 1

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In which

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