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Brut [27]
3 years ago
6

1 + + '2+3+ - + = no +1 그

Mathematics
1 answer:
dalvyx [7]3 years ago
4 0

Answer:

t = 1/2n-6, nER

Step-by-step explanation:

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Which shows .51 and .069 in fraction form in equal denominator.
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A. Shows it in fraction form
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4 years ago
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What is the value of n in the equation –negative StartFraction one-half EndFraction left-parenthesis 2 n plus 4 right-parenthesi
stepladder [879]

The value of n in the equation is 1

Step-by-step explanation:

The equation is -\frac{1}{2} (2n + 4) + 6 = -9 + 4(2n + 1)

At first we must do that:

1. Open the brackets in both sides

2. Add like terms

3. Solve to find n

L.H.S:

∵ -\frac{1}{2} (2n + 4) + 6 = -n - 2 + 6

∴ -\frac{1}{2} (2n + 4) + 6 = -n + 4

R.H.S:

∵ -9 + 4(2n + 1) = -9 + 8n + 4

∴ -9 + 4(2n + 1) = 8n - 5

∴ -n + 4 = 8n - 5

- Add 5 to both sides

∴ -n + 9 = 8n

- Add n to both sides

∴ 9 = 9n

- Divide both sides by 9

∴ n = 1

The value of n in the equation is 1

Learn more:

You can learn more about equation in brainly.com/question/8955867

brainly.com/question/9738996

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4 0
3 years ago
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According to a 2009 Reader's Digest article, people throw away approximately 11% of what they buy at the grocery store. Assume t
expeople1 [14]

Answer:

0.14% probability that the sample proportion exceeds 0.2

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 = 108, p = 0.11

So

\mu = E(X) = np = 108*0.11 = 11.88

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{108*0.11*0.89} = 3.2516

What is the probability that the sample proportion exceeds 0.2

This is 1 subtracted by the pvalue of Z when X = 0.2*108 = 21.6. So

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

Z = \frac{21.6 - 11.8}{3.2516}

Z = 2.99

Z = 2.99 has a pvalue of 0.9986

1 - 0.9986 = 0.0014

0.14% probability that the sample proportion exceeds 0.2

8 0
4 years ago
5p+9c=p solve for c I am confused on how to do it
Simora [160]
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8 0
3 years ago
Plz help thxxxxxxxxxxxxxxxxxx​
mariarad [96]

Answer:

slope is positive 2/1

Step-by-step explanation:

5 0
3 years ago
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