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blondinia [14]
4 years ago
8

HOW DO YOU FACTOR 3Z4 + 6Z

Mathematics
2 answers:
allsm [11]4 years ago
5 0

Answer:

3Z(Z^3 + 2).

Step-by-step explanation:

3Z^4 + 6Z

The greatest common factor is 3Z.

Taking this out we get:

3Z(Z^3 + 2).

Luden [163]4 years ago
3 0

Answer:

3z(z^3+2)

Step-by-step explanation:

1. take the 3z out of the factor and you have 3z(z^3+2)

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Solve the following equation for a: -g + 3/4a = y
matrenka [14]

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Answer:

  a = (4/3)(y+g)

Step-by-step explanation:

Isolate 'a' term, then multiply by the reciprocal of its coefficient.

  -g+\dfrac{3}{4}a=y\qquad\text{given}\\\\\dfrac{3}{4}a=y+g\qquad\text{add $g$}\\\\\boxed{a=\dfrac{4(y+g)}{3}}\qquad\text{multiply by $4/3$}

4 0
4 years ago
If georgia has 8 watermelons and ate 2, how many does she have now
Sedaia [141]

Step-by-step explanation:

Now she has 6 watermelons.

4 0
3 years ago
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Finding Distance in the Coordinate Plane!
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A laboratory scale is known to have a standard deviation (sigma) or 0.001 g in repeated weighings. Scale readings in repeated we
weqwewe [10]

Answer:

99% confidence interval for the given specimen is [3.4125 , 3.4155].

Step-by-step explanation:

We are given that a laboratory scale is known to have a standard deviation (sigma) or 0.001 g in repeated weighing. Scale readings in repeated weighing are Normally distributed with mean equal to the true weight of the specimen.

Three weighing of a specimen on this scale give 3.412, 3.416, and 3.414 g.

Firstly, the pivotal quantity for 99% confidence interval for the true mean specimen is given by;

        P.Q. = \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \bar X = sample mean weighing of specimen = \frac{3.412+3.416+3.414}{3} = 3.414 g

            \sigma = population standard deviation = 0.001 g

            n = sample of specimen = 3

            \mu = population mean

<em>Here for constructing 99% confidence interval we have used z statistics because we know about population standard deviation (sigma).</em>

So, 99% confidence interval for the population​ mean, \mu is ;

P(-2.5758 < N(0,1) < 2.5758) = 0.99  {As the critical value of z at 0.5% level

                                                            of significance are -2.5758 & 2.5758}

P(-2.5758 < \frac{\bar X - \mu}{\frac{\sigma}{\sqrt{n} } } < 2.5758) = 0.99

P( -2.5758 \times {\frac{\sigma}{\sqrt{n} } } < {\bar X - \mu} < 2.5758 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

P( \bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

<u>99% confidence interval for</u> \mu = [ \bar X-2.5758 \times {\frac{\sigma}{\sqrt{n} } } , \bar X+2.5758 \times {\frac{\sigma}{\sqrt{n} } } ]

                                             = [ 3.414-2.5758 \times {\frac{0.001}{\sqrt{3} } } , 3.414+2.5758 \times {\frac{0.001}{\sqrt{3} } } ]

                                             = [3.4125 , 3.4155]

Therefore, 99% confidence interval for this specimen is [3.4125 , 3.4155].

6 0
3 years ago
Lucy throws a fair six sided dice . so like the letter that matches the probability of the dice landing on a number between 1 an
irakobra [83]

Answer:

Letter B matches the probability.

Step-by-step explanation:

Lucy throws a fair six sided dice.

Probability of the dice landing on a number between 1 and 6 = \frac{\text{Favorable outcome}}{\text{Number of events}}

= \frac{1}{6}

On a number line fraction \frac{1}{6} can be represented by,

An small section (A to B) will represent the fraction = \frac{1}{6}

Therefore, letter B will match the probability of a dice landing on a number between 1 and 6.

4 0
3 years ago
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