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Svetradugi [14.3K]
3 years ago
9

If you answer this correctly, you are very cool guy. :)

Mathematics
1 answer:
valina [46]3 years ago
3 0
3/4 C
-1.5 A
3^2 G
0.5^3 B
30 E
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Compare the given dimensions of four triangles. Which triangle is possible to construct?
yan [13]
<span>When 3 Triangle sides are known:
</span><span>The longest side must be less than the sum of the other 2 sides.
5, 12 and 13 - can be constructed
</span>2, 11 and 15 <span>- can be constructed
3, 7 and 11 - CAN'T be constructed - the longest side is greater than the sum of the other two.
4, 8 and 15 </span><span>- CAN'T be constructed - the longest side is greater than the sum of the other two
Source:
http://www.1728.org/trianinq.htm

.</span>

7 0
3 years ago
Read 2 more answers
Which diagram represents the postulate that states exactly one line exists between any two points?
likoan [24]

Answer:

Check attachment for the diagram

Step-by-step explanation:

Given two points A and B in the diagram attached, we see that exactly one line exists between these points.

6 0
4 years ago
Read 2 more answers
8h 39min<br> + 3h 25min<br> ------------------<br> h min
Mice21 [21]

Answer:

12h4min

Step-by-step explanation:

39 + 25=64

1h=60mins

so 64/60=1 and the remain is 4.

4 is minute and 1 is hour

8 + 3 + 1=12hours

so The Answer is 12hours 4minutes

7 0
3 years ago
For a recent season in college football, the total number of rushing yards for that season is recorded for each running back. Th
Galina-37 [17]

Answer:

The standard deviation of the number of rushing yards for the running backs that season is 350.

Step-by-step explanation:

Consider the provided information.

The mean number of rushing yards for the running backs that season is 790 yards. One running back had 1,637 rushing yards for the season, which is 2.42 standard deviations above the mean number of rushing yards.

Here it is given that mean is 790 and 1637 is 2.42 standard deviations above the mean.

Use the formula: z=\frac{x-\mu}{\sigma}

Here z is 2.42 and μ is 790, substitute the respective values as shown.

2.42=\frac{1637-790}{\sigma}

\sigma=\frac{847}{2.42}

\sigma=350

Hence, the standard deviation of the number of rushing yards for the running backs that season is 350.

4 0
4 years ago
The data below show the wins (W) and losses (L) for a basketball team over 25 consecutive games.
kotykmax [81]

Answer:

0.48 or 48%

Step-by-step explanation:

The relative frequency of wins for the basketball team in question is given by the number of wins over the course of the 25 games, divided by the total number of games.

Observing the given data, 12 'Ws' can be counted, which means that the relative frequency of wins is:

F_W=\frac{12}{25}\\F_W=0.48

The relative frequency of wins is 0.48 or 48%.

5 0
4 years ago
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