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Maurinko [17]
3 years ago
11

What is the length of the hypotenuse of the triangle below? It’s D bro just took it

Mathematics
2 answers:
katovenus [111]3 years ago
7 0

Answer:

D no is correct ans

Step-by-step explanation:

using pythagoras thoerem h^2=p^2+b^2

and put the value P=3root 2 and b =3root2 and take out h

Viktor [21]3 years ago
4 0

Answer: D

Step-by-step explanation:

a^2 +b^2 = c^2

3\sqrt{2}^2= 18

3\sqrt{2}^2= 18

18 + 18 = 36

The square root of 36 is 6

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Answer:

because x,y,z are in continuous proportion

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<=> xz = y² =>

\frac{xz}{y} =y\\\\=>\frac{x^{3}z^{3}  }{y^{3} }=y^{3}(1)

with (1), we have:

x^{2}y^{2}z^{2}(\frac{1}{x^{3} }+\frac{1}{y^{3} }+\frac{1}{z^{3} })\\\\=  (xyz)^{2}(\frac{1}{x^{3}  }  +\frac{y^{3} }{x^{3}z^{3} }+\frac{1}{z^{3} })\\\\=(xyz)^{2} (\frac{x^{3}+y^{3}+z^{3}   }{x^{3}z^{3}}  )\\\\=y^{2}.\frac{x^{3}+y^{3}+z^{3}  }{xz}  \\\\= xz.\frac{x^{3}+y^{3}+z^{3} }{xz} \\\\=x^{3}+y^{3}+z^{3}

Step-by-step explanation:

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3 years ago
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Step-by-step explanation:

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What's the correct answer? Thank you!
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answer
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Zigmanuir [339]

Answer:

Methods of obtaining a sample of 600 employees from the 4,700 workforce:

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Part B: When there are equal number of participants in both campuses, stratification by campus would give a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender.  Another method to ensure that stratification by campus gives a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender is to ensure that the sample is proportional to the proportion of each campus to the whole population or workforce.

Step-by-step explanation:

A Convenience Sampling technique is a non-probability (non-random) sampling method and the participants are selected based on availability (early attendees).  The early attendees might be different from the late attendees in characteristics such as age, sex, etc.  Therefore, sampling biases are present.  All non-probability sampling methods are prone to volunteer bias.

Stratified sampling  is more accurate and representative of the population.  It reduces sampling bias.  The difficulty arises in choosing the characteristic to stratify by.

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