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lesya [120]
3 years ago
13

Which of the following is equivalent to square root of 8?

Mathematics
2 answers:
Ostrovityanka [42]3 years ago
6 0

Answer:

2root2

Step-by-step explanation:

on edge

arlik [135]3 years ago
4 0

Answer:

\sqrt{8} =\sqrt{4*2} =2\sqrt{2}

Step-by-step explanation:

The expression \sqrt{8} is a radical. To simplify pull out any perfect square factors.

\sqrt{8} =\sqrt{4*2} =2\sqrt{2}

Each of these expressions is equivalent.

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Suppose f(x)= x^2 fins the graph of f(x-1)
Gennadij [26K]
F(x)=x2,

g(x)=f(3x)=(3x)2=9x2

Now to graph y=9x2. This is a parabola (U-shape), vertex at (0, 0), symmetric aroung y  axis. When x=1/3 or -1/3, then y=1.

So, try to draw the graph.

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3 years ago
I don’t know what do do help
astraxan [27]
The degree of a polynomial is the greatest exponent. In this case, the degree is 8.

The polynomial is a trinomial because it has 3 terms.
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A door delivery florist wishes to estimate the proportion of people in his city that will purchase his flowers. Suppose the true
kvv77 [185]

Answer:

99.74% probability that the sample proportion will be less than 0.1

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

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 = 276, p = 0.06

So

\mu = E(X) = np = 276*0.06 = 16.56

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{276*0.06*0.94} = 3.9454

What is the probability that the sample proportion will be less than 0.1

This is the pvalue of Z when X = 0.1*276 = 27.6. So

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

Z = \frac{27.6 - 16.56}{3.9454}

Z = 2.8

Z = 2.8 has a pvalue of 0.9974

99.74% probability that the sample proportion will be less than 0.1

5 0
3 years ago
For a fundraiser, a group plans to sell granola bars and bottles of water at the same prices as described in Part A. The group w
shutvik [7]

Answer:

100

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
Explain how you would estimate to subtract 189 from 643
Dima020 [189]
I would just round up to 200 and then subtract twelve or just subtract 200 what ever way u prefer. 
5 0
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