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2 years ago

Find the value of the variables

Mathematics

1 answer:

Ierofanga [76]2 years ago

4 0

Answer:

Your answer is.....

x= 10.58

y= 21.66

Mark it as brainlist answer . follow me for more answer.

Step-by-step explanation:

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You have 800 quarter-inch-long beads. If you use them all to make 16 bracelets, what will be the rate of beads per bracelet?

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2 years ago

Solve the equation. −3(y+5)=15

e-lub [12.9K]

Divide both sides by -3

y + 5 = -15/3

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y = -5 - 5

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8 0

2 years ago

Read 2 more answers

A. Describe two ways to find product 4.2 (6+ 0.43)

weqwewe [10]

First method:

What we can do first is to distribute directly 4.2 to 6 and 0.43, that is:

4.2 (6 + 0.43)

= 4.2 * 6 + 4.2 * 0.43

= 25.2 + 1.806

= 27.006

Second method:

We can add the two numbers 6 and 0.43 then multiply with 4.2, that is:

4.2 (6 + 0.43)

= 4.2 (6.43)

= 27.006

What we see is the Distributive Property of multiplication which states that multiplying the sum of a number is similar to multiplying each number and then adding the products.

5 0

2 years ago

Suppose you take a simple random sample of size n=175 from the population of Reese's Pieces, still assuming that 45% of this pop

Gnesinka [82]

Answer:

The probability is $P(0.35$

Step-by-step explanation:

From the question we are told that

The sample size is n = 175

The population proportion is p = 0.45

Generally the mean of the sampling distribution is $\mu_{x} = 0.45$

Generally the standard deviation is mathematically represented as

$\sigma_{x} = \sqrt{\frac{p (1-p)}{n} }$

=> $\sigma_{x} = \sqrt{\frac{0.45 (1-0.45)}{175} }$

=> $\sigma_{x} = 0.0376$

Generally the probability of that the sample proportion of orange candies will be between 0.35 and 0.55 is

$P(0.35 < X < 0.55) = P( \frac{0.35 - 0.45}{0.0376} < \frac{X -\mu_{x}}{\sigma_{x}} < \frac{0.55 - 0.45}{0.0376} )$

=> $P(0.35$

Generally $\frac{X - \mu_{x}}{\sigma_{x}} = Z (The \ standardized \ value \ of X)$

$P(0.35$

=> $P(0.35$

From the z-table

$P( Z< 2.6595 ) = 0.99609$

and

$P( Z< - 2.6595 ) = 0.0039128$

$P(0.35$

=> $P(0.35$

3 0

2 years ago

Find the value of the variables​

Find the value of the variables