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2 years ago

Evaluate the expression when x=4 and y+-6. x-5y

Mathematics

1 answer:

rosijanka [135]2 years ago

4 0

Answer:-26

Step-by-step explanation:

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Which function is invertible? select EACH correct answer.

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Step-by-step explanation:

this two...? i think have a nice day!

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1 year ago

Find the magnitude of the vector from the origin to (-7, -5) and write the vector as the sum of unit vectors.

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2 years ago

In ΔGHI, the measure of ∠I=90°, the measure of ∠G=46°, and IG = 87 feet. Find the length of GH to the nearest tenth of a foot.

sergij07 [2.7K]

Answer:

See attached

I got an answer of 125.2411251548

or to the nearest tenth 125.2

Step-by-step explanation:

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2 years ago

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Prove that the median to the hypotenuse of a right triangle is half the hypotenuse,

REY [17]

Answer:

D. 2

Step-by-step explanation:

M(0,2b)

N(2a,0)

Then the midpoint P coordinates are

P\left(\dfrac{2a+0}{2},\dfrac{0+2b}{2}\right)\Rightarrow P(a,b)

Use distance formula to find OP and MN:

OP=\sqrt{(a-0)^2+(b-0)^2}=\sqrt{a^2+b^2}\\ \\MN=\sqrt{(2a-0)^2+(2b-0)^2}=\sqrt{4a^2+4b^2}=2\sqrt{a^2+b^2}

So,

MN=2OP

OP=1/2 MN

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2 years ago

An experiment was conducted to investigate whether there is a difference in mean bag strengths for two different brands of paper

Elanso [62]

Answer:

A two-sample t-test for a difference between sample means

Step-by-step explanation:

<u>Explanation</u>:-

A random sample of 50 bags from each of Brand X and Brand Y was selected

Given two sample sizes n₁ and n₂

Each bag was held from its rim, and one-ounce weights were dropped into the bag one at a time from the same height until the bag ripped

mean of ounces the first sample = x⁻

mean of the second sample =y⁻

Given data one-ounce weights were dropped into the bag one at a time from the same height until the bag ripped

Standard deviation of the first sample = S₁

Standard deviation of the second sample = S₂

Now we use t - distribution for a difference between the means

$t = \frac{x^{-} -y^{-} }{\sqrt{S^{2}(\frac{1}{n_{1} } +\frac{1}{n_{2} } } }$

where

$S^{2} = \frac{n_{1} S_{1} ^{2} +n_{2}S_{2} ^{2} }{n_{1} +n_{2} -2 }$

Degrees of freedom γ = n₁ +n₂ -2

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2 years ago