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never [62]
3 years ago
10

Of all the trees planted by a landscaping firm, 45% survive. What is the probability that 13 or more of the 15 trees they just p

lanted will survive
Mathematics
1 answer:
Brrunno [24]3 years ago
7 0

<u>ANSWER:  </u>

The probability for 13 or more of the 15 trees they just planted will survive is 0.00110702414

<u>SOLUTION: </u>

Given,

The total number of plants is, n=15

The chance of survival of trees is, p=45%.  

Probability of getting success p(success) = \frac{n o \text { of favourable outcomes }}{\text {total possible outcomes}}

P(success) = \frac{45}{100}

P(success) = 0.45

Binomial distribution formula is given as

\mathrm{P}(\mathrm{X}=\mathrm{x})=\mathrm{n}_{\mathrm{C} \mathrm{x}}(\mathrm{p})^{\mathrm{x}} \cdot(1-\mathrm{p})^{\mathrm{n}-\mathrm{x}}

In our case, x is greater than or equal to 13, i.e. x \geq 13

The probability for 13 or more of the 15 trees they just planted will survive is given by

\mathrm{P}(\mathrm{X} \geq 13)=\mathrm{P}(\mathrm{X}=13)+\mathrm{P}(\mathrm{X}=14)+\mathrm{P}(\mathrm{X}=15)

\mathrm{P}(\mathrm{X} \geq 13)=\left(15 \mathrm{C}_{13} \times(0.45)^{13} \times(1-0.45)^{15-13}\right. + \left(^{15} \mathrm{C}_{14} \times(0.45)^{14} \times(1-0.45)^{15-14}\right. + \left(15 \mathrm{C}_{15} \times(0.45)^{15} \times(1-0.45)^{15-15}\right.

on simplification we get

=(15 \times 7) \times(0.45)^{13} \times(0.55)^{2}+15 \times(0.45)^{14} \times(0.55)^{1}+1 \times(0.45)^{15} \times 1

\begin{array}{c}{=(105 \times 0.00003102863 \times 0.3025)+(15 \times 0.00001396288 \times 0.55)+} \\ {0.00000628329}\end{array}

=0.00098554703 + 0.0001151938 + 0.00000628329

= 0.00110702414

Hence, the probability for 13 or more of the 15 trees they just planted will survive is 0.00110702414

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