Assume that there is a 6​% rate of disk drive failure in a year. a. If all your computer data is stored on a hard disk drive with a copy stored on a second hard disk​ drive, what is the probability that during a​ year, you can avoid catastrophe with at least one working​ drive? b. If copies of all your computer data are stored on three three independent hard disk​ drives, what is the probability that during a​ year, you can avoid catastrophe with at least one working​ drive?

Answers

Answer 1
The easiest way to do this is calculate the probability that all drives crash, and subtract that from one. The first one is .06 squared subtracted from 1, so it’s .9964 or 99.64%. The second one is .06 cubed subtracted from 1, so it’s .9998, or 99.98 %

Related Questions

The number of tickets purchased by an individual for Beckham College’s holiday music festival is a uniformly distributed random variable ranging from 2 to 10. Find the mean and standard deviation of this random variable. (Round your answers to 2 decimal places.)

Answers

Answer:

The mean of the distribution is 4.00 and the standard deviation is 2.31

Explanation:

Given

Range = 2 to 10

Type of distribution = uniform distribution

Required

1. Mean

2. Standard Deviation

The mean of uniform distribution is calculated as thus;

[tex]Mean = \frac{1}{2}(a + b)[/tex]

Where b and a are the intervals of the distribution

b = upper bound = 10

a = lower bound = 2

So,

[tex]Mean = \frac{1}{2}(a + b)[/tex]

Substitute 10 for b and 2 for a

[tex]Mean = \frac{1}{2}(2 + 10)[/tex]

[tex]Mean = \frac{1}{2}(12)[/tex]

[tex]Mean = \frac{1}{2} * 12[/tex]

[tex]Mean = 6[/tex]

[tex]Mean = 6.00[/tex] (Approximated to 2 decimal places)

The standard deviation of uniform distribution is calculated as thus;

σ = √σ²

Where σ represents the standard deviation and σ² represents the variance.

Calculate variance

σ² = Var

[tex]Var = \frac{(b-a)^2}{12}[/tex]

Substitute 10 for b and 2 for a

[tex]Var = \frac{(10 - 2)^2}{12}[/tex]

[tex]Var = \frac{8^2}{12}[/tex]

[tex]Var = \frac{64}{12}[/tex]

[tex]Var = 5.33[/tex]

Recall that

σ = √σ² = √Var

Substitute 5.33 for Var

σ = √5.33

σ = 2.309401076758503

σ = 2.31 (Approximated)

Hence, the mean of the distribution is 4.00 and the standard deviation is 2.31

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