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3 years ago

Show Me! How are these

Mathematics

2 answers:

mina [271]3 years ago

8 0

Answer:

They are alike.

The first statement means whatever Cal has is 12 blocks less than that of Mia e.g if cal has 14 then Mia will have 26.

The second statement means whatever Mia has is 12 blocks more than that of Cal e.g if Mia has 26 blocks Cal will have 14 blocks.

Both statements testify that Mia has 12 more blocks than Cal

Korolek [52]3 years ago

4 0

Answer:

this statement are nothing alike because of the word fewer and many.Fewer means less while more means lot

Step-by-step explanation:

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Answer:

its the first one

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2 years ago

Find the parametric equations for the line that is tangent to the given curve at the given parameter (3cost)i (t^4 -3sint)j

ale4655 [162]

Answer:

Following are the solution to this question:

Step-by-step explanation:

Please find the complete question in the attached file.

In the given equation, when the point t=0

So,

$\to r(0) = (3 \cos 0)i + (0^4 - 6 \sin 0)j + (2e^{3\times 0})k)$

$= (3 \times 1)i + (0 - 0)j + (2e^{0})k)\\\\ = 3i + 0j + (2 \times 1)k)\\\\ = 3i + 0j + 2k \\$

The value of the coordinates are $3, 0, 2$ . so, the equation of the line is:

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3 years ago

If two angles are complementary then both angles must be acute true or false

Oxana [17]

Answer:

If two angles are acute angles, then they are complementary. Incorrect. The converse is “If two angles are complementary, then they are acute angles” which is true and the original statement was false because two acute angles are not always complementary.

Step-by-step explanation:

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3 years ago

Name the marked angle in 2 different ways.<br> V<br> U<br> S<br> T

Mekhanik [1.2K]

Answer:

VUS, UST

Step-by-step explanation:

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2 years ago

Suppose that W1 is a random variable with mean μ and variance σ21 and W2 is a random variable with mean μ and variance σ2. From

vivado [14]

Answer:

Step-by-step explanation:

The concept of variance in random variable is applied in solving for the value of c for the estimator cW1 + (1 − c)W2 to be most efficient. Appropriate differentiation of the estimator with respect to c will give the value of c when the result is at minimum.

The detailed analysis and step by step approach is as shown in the attachment.

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