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Svetach [21]
3 years ago
13

3square root 6x-5+20.7=16.8 cube it

Mathematics
1 answer:
insens350 [35]3 years ago
7 0

Answer:

20.7=16.8

Step-by-step explanation:

.. the upper left of the radical sign is the power of the radical. Putting a 2 here means square root. Putting a 3 here means cube root , etc

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Number 5 please I’ll give brainly
bazaltina [42]

Answer: C

Step-by-step explanation: All the the numbers can be multiplied evenly into 15a^2b^2

>5a^2b *3b = 15a^2b^2

>15ab^2 * a =15a^2b^2

>15a^2b * b =15a^2b^2

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4 years ago
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2/10 reading, 7/10 experiments, what is the fraction of time left ?
BlackZzzverrR [31]

Total time = 10/10

So time left = 10/10 - 2/10 - 7/10

= 10/10 - 9/10

= 1/10  (answer)

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3 years ago
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Grace bought a property valued at $200,00.00 and 20% down and a mortgage amortized over 10 years. She makes equal payments due a
BlackZzzverrR [31]

Answer:

Size of each monthly payment = $161.69 per month

Step-by-step explanation:

Given:

Value of property = $20,000

Downpayment = 20%

Number of payment = 12 x 10 = 120

Interest rate = 4% = 4% / 12 = 0.33 %

Computation:

Loan balance = 20,000 - 20%

Loan balance = $16,000

A] Size of each monthly payment [In Excel]

Size of each monthly payment = PMT(0.33%,120,16000,0)

Size of each monthly payment = $161.69 per month

7 0
3 years ago
A film distribution manager calculates that 7% of the films released are flops. If the manager is correct, what is the probabili
diamong [38]

Answer:

0.9909 = 99.09% probability that the proportion of flops in a sample of 404 released films would be greater than 4%

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:

p = 0.07, n = 404. So

\mu = E(X) = np = 404*0.07 = 28.28

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{404*0.07*0.93} = 5.13

If the manager is correct, what is the probability that the proportion of flops in a sample of 404 released films would be greater than 4%?

This is the pvlaue of Z when X = 0.04*404 = 16.16. So

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

Z = \frac{16.16 - 28.28}{5.13}

Z = -2.36

Z = -2.36 has a pvalue of 0.0091

1 - 0.0091 = 0.9909

0.9909 = 99.09% probability that the proportion of flops in a sample of 404 released films would be greater than 4%

7 0
4 years ago
Q’R’S’ is the image of QRS under a dilation through point C. What scale factor was used in the dilation?
ad-work [718]

-4 i believe is the answer

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4 years ago
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