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frez [133]
3 years ago
4

Two computers just scanned for viruses at the same time. Computer A runs a virus scan every 2.75 days. Computer B runs a virus s

can every 3.5 days. How long will it be until both computers run a virus scan at the same time again?
Mathematics
2 answers:
Anton [14]3 years ago
8 0

Answer:

9.625 days

Step-by-step explanation:

That would be 2.75 * 3.5 = 9.625 days.

zhenek [66]3 years ago
5 0

Answer : The time taken when both computers run a virus scan at the same time again is, 1.54 days

Step-by-step explanation :

Let the time taken by computer for virus scan be, 'x' days

As we are given that Computer A runs a virus scan every 2.75 days and Computer B runs a virus scan every 3.5 days. The work is same.

Amount of work done by computer A:

Amount of work done in 1 day = \frac{1}{2.75}

Amount of work done in 'x' day = \frac{x}{2.75}

Amount of work done by computer B:

Amount of work done in 1 day = \frac{1}{3.5}

Amount of work done in 'x' day = \frac{x}{3.5}

As the work is same. That means, the amount of work done is, 1.

Now we have to determine the time taken when both computers run a virus scan at the same time again.

\frac{x}{2.75}+\frac{x}{3.5}=1

By solving the term 'x', we get:

\frac{(3.5+2.75)x}{2.75\times 3.5}=1

\frac{(6.25)x}{9.625}=1

x=1.54days

Thus, the time taken when both computers run a virus scan at the same time again is, 1.54 days

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Step-by-step explanation:

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3 years ago
According to a poll, 76% of California adults (385 out of 506 surveyed) feel that education is one of the top issues facing Cali
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Answer:

The error bound is 3.125%.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence interval 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

For this problem, we have that:

A sample of 506 California adults.. This means that n = 506.

76% of California adults (385 out of 506 surveyed) feel that education is one of the top issues facing California. This means that \pi = 0.76

We wish to construct a 90% confidence interval

So \alpha = 0.10, z is the value of Z that has a pvalue of 1 - \frac{0.10}{2} = 0.95, so z = 1.645.

The lower limit of this interval is:

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The error bound of the confidence interval is the division by 2 of the subtraction of the upper limit by the lower limit. So:

EBM = \frac{0.7913 - 0.7288}{2} = 0.03125

The error bound is 3.125%.

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