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Eddi Din [679]
3 years ago
8

Rewrite quadratic equation -×^2+2x-10

Mathematics
2 answers:
Tcecarenko [31]3 years ago
8 0
X=\frac{-b+/- \sqrt{b^{2}-4ac } }{2a}

a=-1, b=2, c=10

x=\frac{-2+/- \sqrt{4-4(-1)(10)} }{2(-1)}

x=\frac{-2+/- \sqrt{44}}{-2}

x=\frac{-2+/-2 \sqrt{11}}{-2}

x={1+/-(-1)\sqrt{11}


Lostsunrise [7]3 years ago
6 0
It has no solution because it is not factorable 
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Select the correct answer from each drop-down menu.
I am Lyosha [343]

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2 years ago
At a new exhibit in the Museum of Science, people are asked to choose between 94 or 220 random draws from a machine. The machine
Tresset [83]

Answer:

0.0869 = 8.69% probability of getting more than 61% green balls.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

The machine is known to have 99 green balls and 78 red balls.

This means that p = \frac{99}{99+78} = 0.5593

Mean and standard deviation:

\mu = p = 0.5593

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.5593*0.4407}{99+78}} = 0.0373

a. Calculate the probability of getting more than 61% green balls.

This is 1 subtracted by the pvalue of Z when X = 0.61. So

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

By the Central Limit Theorem

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

Z = \frac{0.61 - 0.5593}{0.0373}

Z = 1.36

Z = 1.36 has a pvalue of 0.9131

1 - 0.9131 = 0.0869

0.0869 = 8.69% probability of getting more than 61% green balls.

8 0
3 years ago
Please help me I’m not good at this
Pepsi [2]
Multiply the Day with 9

1 x 9 = 9 (True)
2 x 9 = 18
3 x 9 = 27
4 x 9 = 36
5 x 9 = 45 
6 x 9 = 54
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63 minutes is your answer

hope this helps
5 0
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Read 2 more answers
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Answer:

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Step-by-step explanation:

0.8 million because the first movie made 1.8 mill iou on and the question is asking how much more the first one made than the second one.

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