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Drupady [299]
4 years ago
11

4.375=2.5×3.5×h, and solve for h.

Mathematics
1 answer:
Lubov Fominskaja [6]4 years ago
5 0
4.375= 8.75h

4.375/8.75= h

0.5 = h
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Match each expression to its equivalent expression. (6+8)*x 4x+4+2 1 4(2x+3) 6x+8X 1 6(x+y+z) 8x+4+3 1 4(x+2) 6х+бу+6z​
snow_tiger [21]

If these are separated like:

<u>(6+8)*x, 4x+4+21, 4(2x+3), 6x+8x, 16(x+y+z), 8x+4+31, 4(x+2),</u> and <u>6x+6y+6</u><u>z</u>...

<em>Then it will be (6+8)*x with 6x+8x, 4x+4+21 with 8x+4+31, 4(2x+3) with 4(x+2), and 16(x+y+z) with 6x+6y+6z.</em><em> </em>Due to like terms, it only makes the most amount of sense.

What's bolded is your answer.

3 0
3 years ago
Given f(x) = x2 + 6x and g(x) = 2x3, which of the following are true? Check all correct answer(s).
kifflom [539]

Answer:

C and D are true

Step-by-step explanation:

A

f(x) × g(x) = 2x³(x² + 6x) = 2x^{5} + 12x^{4}

B

f(0) = 0² + 6(0) = 0 + 0 = 0 ≠ 16

C

f(1) = 1² + 6(1) = 1 + 6 = 7

g(1) = 2(1)² = 2

f(1) × g(1) = 7 × 2 = 14 ← True

D

g(x) × g(x) = 2x³ × 2x³ = 4x^{6} ← True

8 0
3 years ago
An article reported that in a large study carried out in the state of New York, approximately 60% of the study subjects lived wi
DerKrebs [107]

Answer:

95.86%.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 0.6, \sigma = \sqrt{\frac{p(1-p)}{n}} = 0.0245

P(0.55 \leq x \leq 0.65

This probability is the pvalue of Z when X = 0.65 subtracted by the pvalue of Z when X = 0.55. So

X = 0.65

Z = \frac{X - \mu}{\sigma}

Z = \frac{0.65 - 0.6}{0.0245}

Z = 2.04

Z = 2.04 has a pvalue of 0.9793

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Z = \frac{X - \mu}{\sigma}

Z = \frac{0.55 - 0.6}{0.0245}

Z = -2.04

Z = -2.04 has a pvalue of 0.0207

So this probability is 0.9793 - 0.0207 = 0.9586 = 95.86%.

5 0
3 years ago
ILL GIVE BRAINLY FOR RIGHT ANSWER HELP!!!!!
Zolol [24]

Answer:

3 apples.

Step-by-step explanation:

8 0
3 years ago
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yawa3891 [41]

Answer:

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Step-by-step explanation:

Perpendicular means for a line to create a 90 degree angle, like it does on the y axis.

Hope this helps!

8 0
3 years ago
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