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34kurt
3 years ago
7

.-. help me pls it keeps saying that my question short well looks like i cant cuss

Mathematics
1 answer:
PIT_PIT [208]3 years ago
7 0

Answer:

5:3, 20:12, 10/3 : 2, and 8 1/3 : 5.

<em>Hope that helps!</em>

<em>-Sabrina</em>

Step-by-step explanation:

You might be interested in
What is the distributive property of 4+10
IgorC [24]

Answer:

  2(2 +5)

Step-by-step explanation:

We presume you want to rewrite the expression making use of the distributive property. For that, it is helpful to find a factor common to the two terms. The GCD of 4 and 10 is 2, so we can factor that out:

  4 + 10 = 2(2 +5)

_____

Of course, you can use any factor you like. It doesn't need to be an integer.

  = (1/3)(12 +30)

  = 0.4(10 +25)

  = 4(1 +2.5)

4 0
3 years ago
decide whether enough information is given to prove that the triangle is congruent using the SAS congruence theorem. if so, writ
Paladinen [302]

Answer:

Step-by-step explanation:

Given:

ΔCAD and ΔCBD

∠A ≅∠B (Angle)

AD ≅BD (Side)

From the graph we see that

CD≅CD (Side)

because of reflexive propriety ( a line segment is congruent with itself)

If you put in order those congruencies we have SSA witch does NOT prove congruence.

we not use SAS because the angle between the sides is not congruent

8 0
3 years ago
P-value test and Ctitical Value test are identical. P-value and Critical value are two different names for the same steps. They
creativ13 [48]

Answer:

Option B - False

Step-by-step explanation:

Critical value is a point beyond which we normally reject the null hypothesis. Whereas, P-value is defined as the probability to the right of respective statistic which could either be Z, T or chi. Now, the benefit of using p-value is that it calculates a probability estimate which we will be able to test at any level of significance by comparing the probability directly with the significance level.

For example, let's assume that the Z-value for a particular experiment is 1.67, which will be greater than the critical value at 5% which will be 1.64. Thus, if we want to check for a different significance level of 1%, we will need to calculate a new critical value.

Whereas, if we calculate the p-value for say 1.67, it will give a value of about 0.047. This p-value can be used to reject the hypothesis at 5% significance level since 0.047 < 0.05. But with a significance level of 1%, the hypothesis can be accepted since 0.047 > 0.01.

Thus, it's clear critical values are different from P-values and they can't be used interchangeably.

8 0
3 years ago
How do u solve -2 + (-3)
shtirl [24]
-5 because a negative plus a negative is a positive this is why it is the right answer
3 0
3 years ago
Please help me somebody! &lt;3
Misha Larkins [42]
I believe it would be -17m-4/8
8 0
3 years ago
Read 2 more answers
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