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MArishka [77]
3 years ago
10

Multiply and rewrite the system: 16푥−10푦=10 −8푥−6푦=6 solving for elimination

Mathematics
1 answer:
Artyom0805 [142]3 years ago
5 0
Hmmm I think 16 - 10 = 10 ( - 8 - 6 ) = 6
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I need help with this​
Alika [10]

Answer:

i am sorry but i dont know

Step-by-step explanation:

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2 years ago
"given a sum and a product, find two integers x and y, where x + y === sum,"
noname [10]
What’s the question?
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3 years ago
23 x 32 is the prime factorization for which one of these choices?
antoniya [11.8K]
<h2><u>Answer:</u></h2>

⟶ 2³ × 3² is the prime factorization for which one of these choices?

Let's check,

1) 6 = 3 × 2 [So, obviously not this choice]

2) 25 = 5 × 5 = 5² [Not this either]

3) 36 = 3 × 2 × 2 × 3 = 3² × 2² [Doesn't match with 2³ × 3²]

4) 72 = 2 × 2 × 2 × 3 × 3 = <u>2</u><u>³</u><u> </u><u>×</u><u> </u><u>3</u><u>²</u><u> </u>[Matches]

⟶ The answer is, choice <u>7</u><u>2</u><u>.</u>

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3 0
2 years ago
Kerry donated 1/10 of her $500 savings to a charity. How much money did she donate?
attashe74 [19]

Answer:

$50

Step-by-step explanation:

1/10 of $500 =

= 1/10 * $500

= $500/10

= $50

7 0
3 years ago
Read 2 more answers
sume that the change in daily closing prices for stocks on the New York Stock Exchange is a random variable that is normally dis
Darina [25.2K]

Answer:

0.1131 = 11.31% probability that a randomly selected stock will close up $0.75 or more.

Step-by-step explanation:

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.

Normally distributed with a mean of $0.35 and a standard deviation of $0.33.

This means that \mu = 0.35, \sigma = 0.33.

What is the probability that a randomly selected stock will close up $0.75 or more?

This is 1 subtracted by the p-value of Z when X = 0.75. So

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

Z = \frac{0.75 - 0.35}{0.33}

Z = 1.21

Z = 1.21 has a p-value of 0.8869.

1 - 0.8869 = 0.1131

0.1131 = 11.31% probability that a randomly selected stock will close up $0.75 or more.

4 0
2 years ago
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