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maw [93]
3 years ago
12

The probability that a mature hen will lay an egg on a given day is 0.80. Hannah has 12 hens. What is the probability that 10 of

the 12 hens will lay eggs on a given day? 0.05 0.11 0.20 0.28
Mathematics
2 answers:
Shkiper50 [21]3 years ago
4 0

Answer: 0.28

Step-by-step explanation:

I took the test

OleMash [197]3 years ago
3 0

Answer: 0.28

Step-by-step explanation:

Binomial probability formula :

P(X=x)=\ ^nC_xp^x(1-p)^x , where  x = Number of success , n= sample size , p= probability of success for each trial.

Let x = Number of hens lay eggs.

then, p=  0.80

n= 12

For x=10

P(x=10)=\ ^{12}C_{10}(0.80)^{10}(0.20)^{2}\\\\=\dfrac{12!}{10!2!}\times 0.1073741824\times 0.04\\\\\approx0.28

Hence, the required probability = 0.28

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Answer:

1. How many will be infected next week

From the information, there are 1000 mice in the lab.

200 mice are infected. It is expected that 90% of the mice are expected to overcome the infection and 40% uninfected mice will be infected.

If 200 mice are infected, then number of uninfected mice is:

= 1000 - 200 = 800

90% of infected mice get cured. Out of 200 mice who are infected, the number of mice getting cures is:

N(E) = P(E)×N(S)

= 0.90*200

= 180

The number of mice still infected is 200 - 180 = 20

Out of 800 uninfected mice, 40% will get infected. Number of infected mice is:

N(E) = P(E) * N(S)

= 0.40 * 800

= 320

​Total number of infected mice is 320 + 20  = 340 . Thus, the number of infected mice next week is 340

2. How many will be infected in 3 weeks

After three week, the number of infected mice is 340. Therefore, the number of uninfected mice is 1000 - 340 = 660

Now, out of 340 mice, it is expected that 90% will recover. This indicates that 10% will remain infected. Then the number of infected mice is

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=  34

​  

Out of 660 mice, 40% will be infected. The number of mice becoming infected is

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= 0.40 * 660

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3 years ago
A tire manufacturer has a 60,000 mile warranty for tread life. The manufacturer considers the overall tire quality to be accepta
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Answer:

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Since the P-value is 0.15 which is greater than 0.05, we would fail to reject the null hypothesis as there is no sufficient evidence against the null hypothesis.

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