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ruslelena [56]
4 years ago
11

Hey, I need some help with this:

Mathematics
2 answers:
Naya [18.7K]4 years ago
7 0
An inverse operation is writing the opposite sign to another sign
wel4 years ago
4 0

Inverse operations are an operation that undoes each other. For example, addition and subtraction, multiplication and division, squares and square roots.

For example, we have the equation:

2 + 2 = 4

The inverse of this equation is:

4 - 2 = 2

Best of Luck!

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Step-by-step explanation:

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LIEDUMICIS.ISLIULIULUI marks 4 1 point → An archer shoots an arrow into the air. The equation that describes the path of the arr
elena55 [62]

4)

the arrow touches the ground when the heigth is 0

so we need to replace h=0 and solve for t

\begin{gathered} h=17t-5t^2 \\ 0=17t-5t^2 \\ 0=t(17-5t) \\ 0=17-5t \\ 5t=17 \\ t=\frac{17}{5}=3.4 \end{gathered}

<em>the arrow tuches the ground at 3.4 seconds</em>

5)

F=m\times a

replacing

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<em>solve for m</em>

\begin{gathered} m=\frac{185}{13.7} \\  \\ m=13.50 \end{gathered}

<em>the mass is 13.50Kg</em>

<em />

4 0
1 year ago
1. All of the following are true except B. A. A random variable represents a numerical value assigned to an outcome of a probabi
kolezko [41]

Answer:

The true statements are :

A. A random variable is a numerical description of the outcome of a statistical experiment.

B. In most​ applications, discrete random variables represent counted​ data.

C. In most applications, continuous random variables represent measured data.

Step-by-step explanation:

It is true statement that,

A. A random variable is a numerical description of the outcome of a statistical experiment.

B. In most​ applications, discrete random variables represent counted​ data.

C. In most applications, continuous random variables represent measured data.

The false statement is -

D. The expected value of a discrete random variable is equal to the standard deviation of the random variable.

Reason -

The mean value, or expected value, of a discrete random variable X is given by the following equation:

μ = E(x) = ∑ x p(x)

And

The variance of a discrete random variable is given by the following formula:

σ²=∑ (x−μ)² P(x)

And

The square root of the variance, or, in other words, the square root of σ², is the standard deviation of a discrete random variable :

σ = √σ²

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1. find the greatest common factors of the numerator & denominator 
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