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Pie
3 years ago
3

After a computer virus entered the system, a computer manager checks the condition of all important files. She knows that each f

ile has probability 0.2 to be damaged by the virus, independently of other files. (a) Compute the probability that at least 5 of the first 20 files are damaged. (b) Compute the probability that the manager has to check at least 6 files in order to find 3 undamaged files
Mathematics
1 answer:
ryzh [129]3 years ago
3 0

Answer with Step-by-step explanation:

The given probability can be obtained Bernoulli's probability theory since the outcome of the experiment is binary

For an event E with probability of occurrence 'p' the probability that the event  E occurs exactly 'r' times in 'n' trails is given by

P(E)=\binom{n}{r}p^{r}(1-p)^{n-r}

Applying the given values we get

since p = probability that the file has a virus = 0.2

n = no of trails = 20

r =  5 ( Since we need to find the probability that at least 5 files have virus)

Part a)

P(E)=\binom{20}{5}(0.2)^{5}(1-0.2)^{20-5}\\\\P(E)=\frac{20!}{(20-5)!\cdot 5!}\times (0.2)^{5}(1-0.2)^{15}\\\\P(E)=0.1745

Part b)

Let P(E') be the probability that the manager has to check 6 files to find 3 undamaged ones thus n = 6, r = 3

P(E)=\binom{6}{3}(0.2)^{3}(1-0.2)^{6-3}\\\\P(E)=\frac{6!}{(6-3)!\cdot 5!}\times (0.2)^{3}(1-0.2)^{3}\\\\P(E')=0.082

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First off, you need to have your ys on the same side. Here's how to do it:
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Answer:

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Step-by-step explanation:

Assuming this info from R

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Null hypothesis:\mu = 32  

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If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

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The first step is calculate the degrees of freedom, on this case:  

df=n-1=36-1=35  

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