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liq [111]
4 years ago
12

At basketball practice you made 21

Mathematics
2 answers:
ratelena [41]4 years ago
8 0
21 is nearly 25% of 80, so my estimate is 25%
DanielleElmas [232]4 years ago
7 0
25 percent however the exact answer is 26.25%
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Diano4ka-milaya [45]

Answer:

22

Step-by-step explanation:

94-6 divided by 4

5 0
3 years ago
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Given that m = -4 and n = 8, what is the value of (2m + n ) ( 2m - n) ?
alex41 [277]

Answer:

(-8 + 8)(-8 - 8) = 0

7 0
3 years ago
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A town had about 2120 acres of pine trees 40 years ago. Only about 13% of the pine trees remain. How many acres of pine trees re
Vera_Pavlovna [14]
2120/100=21.2
21.2x13=275.6
Therefore there are 275.6 acres remaining of pine trees.
6 0
4 years ago
Solve for x<br> X^2 - y = z
Bezzdna [24]

Answer:

± sqrt(z+y)

Step-by-step explanation:

x^2-y=z

for x

x^2=z+y

taking sqrt on both sides

x= ± sqrt(z+y)

3 0
3 years ago
Gabriella asked 555 of her hundreds of coworkers how much storage space they were currently using on their computer. Here are th
Vitek1552 [10]

Answer:

The standard deviation of the sample is 2.55 gigabytes

Step-by-step explanation:

Here we have the responses as follows;

Storage space usage on their computer x_i

The number of respondents or sample size, n = 5

        x_i            (x_i - \bar x)         (x_i - \bar x)^{2}

        4                -4                 16

        8                 0                  0

        8                 0                  0

        9                 1                   1

        11                 3                  9

∑      40                                   26

The sum = ∑X = 4 + 8 + 8 + 9 + 11 = 40

The mean  = (The sum)/(The count) = 40/5 = 8

Formula for population standard deviation is;

\sigma =  \sqrt{\frac{\Sigma (x_i - \mu)^2}{n } }

Where:

σ = Population standard deviation

μ = Population mean

Since we are dealing with only 5 out of her hundreds of coworkers we are dealing with a sample therefore;

The formula for sample standard deviation is;

s =  \sqrt{\frac{\Sigma (x_i - \bar x)^2}{n - 1} }

Where:

s = Sample standard deviation

n = Sample size

x_i = Each value of the sample

\bar x = Sample mean

We find each value of (x_i - \bar x) by subtracting the x values from the mean, 8, as in the table above, next we find (x_i - \bar x)^{2} by squaring the (x_i - \bar x).

Next, we find the sum of the differences from the mean square values from the table after which we divide by n - 1, to get {\frac{\Sigma (x_i - \bar x)^2}{n - 1} } = \frac{26}{5 - 1} = \frac{26}{4} = 6.5

We find the root of the result which gives us the standard deviation hence

√6.5 = 2.5495.

Standard deviation, s = 2.5495 ≈ 2.55 to two significant places of decimal.

3 0
4 years ago
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