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ella [17]
4 years ago
12

Which gives the best estimate and the exact product of (5.9)(8.28)? A: estimate: 40; exact product: 48.852

Mathematics
2 answers:
SSSSS [86.1K]4 years ago
7 0
<u><em>Answer:</em></u>
<span>B: estimate: 48; exact product: 48.852
</span>
<u><em>Explanation:</em></u>
<u>First, let's get the exact product:</u>
5.9 * 8.28 = 48.852

<u>Ten, let's get the estimated product:</u>
5.9 will be rounded up giving us 6
8.28 will be rounded down giving us 8
Now the estimated product = 6 * 8 = 48

<u>Based on the above calculations, we have:</u>
estimate : 48
exact : 48.825
This corresponds to option B

Hope this helps :)
Evgesh-ka [11]4 years ago
5 0
I think B gives the best estimate and exact product because

1). 5.9 x 8.28 is very similar to 6 x 8 which equals 48.

and 

2. 5.9 x 8.28 = 48.852.

Hopefully that made sense. :)
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The value of the product expression (-2x-9y²)(-4x-3) is 8x² + 6x + 27y² + 36xy²

<h3>How to evaluate the product?</h3>

The expression is given as:

(-2x-9y²)(-4x-3)

Expand the expression

8x² + 6x + 27y² + 36xy²

Hence, the value of the product expression (-2x-9y²)(-4x-3) is 8x² + 6x + 27y² + 36xy²

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A patio deck in the shape of a parallelogram has three square cutouts for trees to grown through. Each square has a side length
luda_lava [24]

The area of the deck is 50.4 x 22 = 1108.8 square ft.

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The total area of the boards is : 1108.8 - 60.75 = 1048.05 square feet.

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3 years ago
jack, jill and bill each carried a 48-ounce bucket full of water down the hill.  By the time they reached the bottom, jack's buc
kipiarov [429]
Divide 48 by 4 and you get 12 ounces. Therefore, each 1/4 of a bucket  is equal to 12 ounces. divide 48 by 3 and you get 16 ounces. Therefore, each 1/3 of a bucket is 16 ounces. Divide 48 by 6 and you get 8 ounces. 8 multiplyed by 5 is 40. Add 40 16 and 12 and you get 68 ounces 
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3 years ago
Read 2 more answers
Weekly wages at a certain factory are
fiasKO [112]

Answer:

0.34134

Step-by-step explanation:

in other to solve for this question we would be using the z score formula

z = (x - μ) / σ

x = raw score

μ = mean

σ = standard deviation

the question tells us to find the probability that a worker selected at random makes between $350 and $400

let x1 = 350 and x2= 400 with the mean μ = 400 and standard deviation σ = $50.

z1 = (x1 - μ) / σ = (350-400) / 50 = -1

z2 = (x2 - μ) / σ = (400 - 400) / 50 = (0/50) = 0

from tables, P(z <= -1) = 0.15866

P(z <= 0) = 0.5

then the probability would give us, P(-1 ≤ z ≤ 0) =0.5 - 0.15866 =

0.34134

that explains that the probability that a worker selected at random makes between $350 and $400 = 0.34134

5 0
3 years ago
About 5% of hourly paid workers in a regioner the prevailing minimum wage or less A grocery chain offers discount rates to compa
Fed [463]

Answer:

0

Step-by-step explanation:

Let X  to be a random variable that looks a binomial distribution which denoted the number of employees out of the 281 who earn the prevailing minimum wage or less

The sample size n = 281

The population parameter p = 5% = 0.05

Using normal approximation for the mean.

\mu = np

\mu = 281\times 0.05

\mu = 14.05

The standard deviation is:

\sigma = \sqrt{np(1-p)}

\sigma = \sqrt{281 \times 0.05(1-0.05)}

\sigma = \sqrt{281 \times 0.05(0.95)}

\sigma = \sqrt{13.3475}

\sigma =3.6534

By using continuity correction; the sample mean x is:

x = 30 - 0.5

x = 29.5

The z statistic test can now be as follows:

Z = \dfrac{x-\mu}{\sigma}

Z = \dfrac{29.5-14.05}{3.6534}

Z = \dfrac{15.45}{3.6534}

Z = 4.23

Thus, the probability that company A will get a discount is

P(X ≥ 30) = P(Z >4.23)

= 1 - P(Z < 4.23)

By using the Excel function for the z score 4.23 i.e. "=1 - NORMSDIST(4.23)" we get;

= 0.0000

7 0
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