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oksian1 [2.3K]
3 years ago
11

What is the greatest common factor of 24s3, 12s4, and 18s?

Mathematics
2 answers:
kari74 [83]3 years ago
11 0
It is 6s. That's the answer.
alexira [117]3 years ago
7 0

Answer:

Its 6s dont listen to the other dude that said it was C

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What is the answer to the equation 0.6x+1.3x=3.04
amm1812

Answer:

x = 1.6

Step-by-step explanation:

0.6x + 1.3x = 3.04

1.9x = 3.04

x = 3.04/1.9

x = 1.6

8 0
3 years ago
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3. Pete is making 8 identical fruit baskets as
Feliz [49]

9 apples per basket

Peter is making 8 identical fruit baskets. If the baskets are identical, that means they all have the same amount of fruit in them. If I know how many apples were used, then I can divide that by the total number of baskets (8) to find out how many apples were used per basket.

12 oranges were used per basket. There were 8 baskets. 12 x 8 = 96, so 96 oranges were used in total.

168 - 96 = 72

There were 72 apples used in total.

There were the same amount of apples in each of the 8 fruit baskets. 72/8 = 9, which means that there were 9 apples per fruit basket.

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3 years ago
4) Which pair of triangles is congruent by Angle - Angle- Side?
mixas84 [53]

Answer:

I think its 2

4 0
3 years ago
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Two thirds of the parade vehicles were vintage vehicles and 1⁄3 of the vintage vehicles were motorcycles. What fraction of the t
Liula [17]

Answer:the fraction of the total parade vehicles that are motorcycles is 2/9

Step-by-step explanation:

Let x represent the total number of parade vehicles.

Two thirds of the parade vehicles were vintage vehicles. This means that the total number of vintage vehicles would be

2/3 × x = 2x/3

1⁄3 of the vintage vehicles were motorcycles. This means that the total number of motorcycles would be

1/3 × 2x/3 = 2x/9

Therefore, the fraction of the total parade vehicles that are motorcycles would be

2x/9/x = 2/9

5 0
3 years ago
With regard to a​ regression-based forecast, the standard error of the estimate gives a measure of A. the variability around the
Travka [436]

Answer:

B. the variability around the regression line.

Step-by-step explanation:

The standard errors represents the distance (how sparse) the observed values fall from the regression line.

Standard errors for regression are measures of the spread of variables around the average (regression line)

The standard error is dependent on the standard deviation of the observations and the reliability of the test.

When the test is perfectly reliable, the standard error is zero and when unreliable, it is equal to the standard deviation of the observations.

8 0
3 years ago
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