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mihalych1998 [28]
3 years ago
7

Explain your answer !! Will give brainlst

Mathematics
1 answer:
meriva3 years ago
4 0

Answer:I did

Step-by-step explanation:

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FIND THE VOLUME OF THE SPHERE
svp [43]

Answer:

about 65.4 inches cubed

Step-by-step explanation:

The formula for the volume of a sphere is 4/3πr^3.

V = 4/3πr^3

   = 4/3π(2.5^3)

   = 20.83π = <u>about 65.4 inches cubed</u>

4 0
3 years ago
If f={(0,2),(2,6),(3,5),(4,9)} what is f^(-1)(9)
tangare [24]

Answer is 9 f-^1

I hope this correct :D

7 0
3 years ago
If 14x = ^13√14, what value of x makes this equation true?
Andrews [41]

The value of x is 1/13 (4th choice)

Step-by-step explanation:

{a}^{ \frac{m}{n} }  =  \sqrt[n]{ {a}^{m} }

If 14^x = ¹³√14, what value of <em>x </em>makes this equation true?

\sqrt[13]{14}  =  {14}^{x}  \\  \sqrt[13]{14}  =  {14}^{ \frac{1}{13} }

So, the value of <em>x</em> is 1/13 (4th choice)

<em>Hope</em><em> </em><em>it </em><em>helpful </em><em>and </em><em>useful </em><em>:</em><em>)</em>

6 0
4 years ago
The function c(x)=35x+75 r
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Math Papa is a very good calculator. You can try it. Just put the equation www.mathpapa.com :)
6 0
3 years ago
A report indicated that 37% of adults had received a bogus email intended to steal personal information. Suppose a random sample
fiasKO [112]

Answer:

5.05% probability that no more than 34% had received such an email.

Step-by-step explanation:

We use the binomial approximation to the normal to solve this problem.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 700, p = 0.37

\mu = E(X) = np = 700*0.37 = 259

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{700*0.37*0.63} = 12.77

In a random sample of 700 adults, what is the probability that no more than 34% had received such an email?

34% is 0.34*700 = 238

So this probability is the pvalue of Z when X = 238.

Z = \frac{X - \mu}{\sigma}

Z = \frac{238 - 259}{12.77}

Z = -1.64

Z = -1.64 has a pvalue of 0.0505

5.05% probability that no more than 34% had received such an email.

7 0
4 years ago
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