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3 years ago

Nine minus the quotient of two and a number xxx.

Mathematics

1 answer:

g100num [7]3 years ago

4 0

Answer:

$\huge\boxed{9-\dfrac{2}{x}=9-2:x}$

Step-by-step explanation:

Nine minus:

$9-...$

the quotient of two and a number x:

$2:x=\dfrac{2}{x}$

together

$9-\dfrac{2}{x}$

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princess wanted to plant 28 lillies in rows. all rows contain the same number of plants. there are between 5 and 12 plants on ea

marysya [2.9K]

Add 5 12 and 28 and there is ur answer

6 0

4 years ago

What is the product? Assume x≥0.

lys-0071 [83]

The product of (√3x + √5)(√15x+2√30) assuming x ≥ 0 is 3√5x² + 6√10x + 5√3x + 10√6

<h3>What is the product of the expression?</h3>

It follows from the task content that the expression given whose product is to be evaluated is;

(√3x + √5)(√15x+2√30)

Hence, by multiplying the terms with each other accordingly; we have;

= (√45x² + 2√90x + √75x + 2√150)

= 3√5x² + 2√90x + √75x + 2√150

= 3√5x² + 2×3√10x + √75x + 2√150

= 3√5x² + 2×3√10x + 5√3x + 2√150

= 3√5x² + 2×3√10x + 5√3x + 10√6

= 3√5x² + 6√10x + 5√3x + 10√6

Ultimately, the product of the expression is; 3√5x² + 6√10x + 5√3x + 10√6

Learn more about product:

brainly.com/question/10090998

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4 0

2 years ago

Please help with this question

Artemon [7]

Answer:

Step-by-step explanation:

G(x) exceeds f(x) from x = 0 to x = 3.

Then we see that f(x) is 11 at x = 4 and g(x) is 10 at x = 4, so there is an intersection between these 2 points.

After this f(x) far exceeds g(x).

5 0

3 years ago

g The proportion of U.S. births that result in a birth defect is approximately 1/33 according to the Centers for Disease Control

Rudiy27

Answer:

0.1426 = 14.26% probability that at least one of the births results in a defect.

Step-by-step explanation:

For each birth, there are only two possible outcomes. Either it results in a defect, or it does not. The probability that a birth results in a defect is independent of any other birth. This means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

In which $C_{n,x}$ is the number of different combinations of x objects from a set of n elements, given by the following formula.

$C_{n,x} = \frac{n!}{x!(n-x)!}$

And p is the probability of X happening.

The proportion of U.S. births that result in a birth defect is approximately 1/33 according to the Centers for Disease Control and Prevention (CDC).

This means that $p = \frac{1}{33}$