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ryzh [129]
3 years ago
14

LOTS of points due today!!!!! 8-10

Mathematics
1 answer:
Karolina [17]3 years ago
8 0

Answer:

they are 10 ppl in the crew

$12800×15/100=$1920

$10×100/80=$12.50

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Log(x2 - 15) = log(2x)
Nuetrik [128]

Answer:

x=5

Step-by-step explanation:

5 0
3 years ago
For her softball uniform Meredith has a green, white, or striped jerseyShe also white, green, striped shortIf Meredith jersey an
lilavasa [31]

Answer:

probability that she'll go with a striped jersey and green shorts  = ¹/₉

Step-by-step explanation:

Probability = desired outcome ÷ total outcome

probability that she'll go with a striped jersey and green shorts = ¹/₃ x ¹/₃ = ¹/₉

5 0
3 years ago
Read 2 more answers
What is r + 3/4 = 7/8
Tom [10]

Answer:

r + ¾ = ⁷/₈

r = ⁷/₈ - ¾

⁷/₈ - ⁶₈ = ¹/₈

r = ¹/₈

Step-by-step explanation:

but my original answer was 4/4

7 0
3 years ago
Answer????????????????????​
Karolina [17]
So f(0) is 6. We see that in the points. When you look at the x value for the function on the left, you see the point (0,6) when x is 0 y is always 6.
6 0
3 years ago
If sample variance is computed by dividing SS by df = n – 1, then the average value of the sample variances from all the possibl
boyakko [2]

Answer:

s^2 = \frac{SS}{n-1}

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

\sigma =\frac{SS}{n}

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

Step-by-step explanation:

For this case we can define the sum of squares with this formula:

SS = \sum_{i=1}^n (X_i -\bar X)^2

Where:

\bar X =\frac{\sum_{i=1}^n X_i}{n}

And we can find the sample variance with this formula:

s^2 = \frac{SS}{n-1}

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

\sigma =\frac{SS}{n}

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

6 0
3 years ago
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