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horrorfan [7]
3 years ago
6

Evaluate-a-function f(x) =

rac{x}{7}" align="absmiddle" class="latex-formula"> f(7) =
Mathematics
2 answers:
bekas [8.4K]3 years ago
5 0

Answer:

After evaluating the function f(x)=\frac{x}{7} by putting x = 7, we get f(7)= 1

Step-by-step explanation:

We need to evaluate the function f(x)=\frac{x}{7} and find f(7)

For finding f(7) we will put x = 7 in the given function f(x)=\frac{x}{7}

So, putting x= 7 and finding f(7)

f(x)=\frac{x}{7}\\Put\:x=7\\f(7)=\frac{7}{7}\\f(7)=1

So, after evaluating the function f(x)=\frac{x}{7} by putting x = 7, we get f(7)= 1

OLga [1]3 years ago
3 0

Step-by-step explanation:

Hey there!

f(x) = 7/x

<em>~ Simply keep the "7" in the place where "x" is there.</em>

f(7) =  \frac{7}{7}

Therefore, X= 1.

<em><u>Hope</u></em><em><u> it</u></em><em><u> helps</u></em><em><u>.</u></em><em><u>.</u></em><em><u>.</u></em><em><u>.</u></em>

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At 95% confidence, how large a sample should be taken to obtain a margin of error of 0.03 for the estimation of a population pro
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Answer:

A sample of 1068 is needed.

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 level of 1-\alpha, we have the following confidence interval of proportions.

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

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The margin of error is:

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95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

At 95% confidence, how large a sample should be taken to obtain a margin of error of 0.03 for the estimation of a population proportion?

We need a sample of n.

n is found when M = 0.03.

We have no prior estimate of \pi, so we use the worst case scenario, which is \pi = 0.5

Then

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

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A sample of 1068 is needed.

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