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3 years ago

Solve for n: 6n − 2(4n + 7) + 4 = -2 A:-6 B:-4 C:4 D:6

Mathematics

2 answers:

umka2103 [35]3 years ago

7 0

Answer:

B: -4

Step-by-step explanation:

In this type of situation, you should distribute -2 into the parentheses to get to this equation which is 6n - 8n - 14 + 4 = -2. Combine the two variable numbers together to get -2n and add 4 from -14 to get -10. To clean up this equation, your equation should be -2n - 10 = -2. Add 10 on both sides to get 8 on the right side and then divide -2 on both sides to get your final answer which is -4.

Valentin [98]3 years ago

5 0

O believe it’s B:-4
You can use a calculator for this type of questions

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Katena32 [7]

Hello!!

════ ⋆★⋆ ════

$\mathbb{A~N~S~W~E~R~:}$

$= r$ · $2$

➡ $\Huge \sf \mathbb \color{}\underline{\colorbox{ANSWER~WITH~EXPLANATION ~!}{}}$

$\mathfrak{apply~the~fraction~rule: }$ $a$ $\frac{b}{c} =\frac{a~. ~b }{c}$

$\mathfrak{apply~rule: }$ $a$ · $1 = a$

$r$ · $1$ · $4 = r$ · $4$

$=\frac{r~.~4}{2}$

$\mathfrak{divide~the~numbers~: }$ $\frac{4}{2} = 2$

$= r$ · $2$

So, your answer will be is :

$= r$ · $2$

$\color{}{Hope\:it\:helps. ..}$

#LearnWithBrainly

$\mathbb{A~N~S~W~E~R~:}$

$\mathfrak{Jace}$

4 0

3 years ago

.For small training sets variance may contribute more to the overall error than bias. Sometimes this is handled by reducing the

Ymorist [56]

Answer:

Bias is the difference between the average prediction of our model and the correct value which we are trying to predict and variance is the variability of model prediction for a given data p[oint or a value which tells us the spread of our data the variance perform very well on training data but has high error rates on test data on the other hand if our model has small training sets then it's going to have smaller variance & & high bias and its contribute more to the overall error than bias. If our model is too simple and has very few parameters then it may have high bias and low variable. As the model go this is conceptually trivial and is much simpler than what people commonly envision when they think of modelling but it helps us to clearly illustrate the difference bewteen bias & variance.

3 0

3 years ago

What is the midpoint M of that line segment?

topjm [15]

$\bf ~~~~~~~~~~~~\textit{middle point of 2 points } \\\\ T(\stackrel{x_1}{6}~,~\stackrel{y_1}{3})\qquad U(\stackrel{x_2}{6}~,~\stackrel{y_2}{9}) \qquad \left(\cfrac{ x_2 + x_1}{2}~~~ ,~~~ \cfrac{ y_2 + y_1}{2} \right) \\\\\\ \left( \cfrac{6+6}{2}~~,~~\cfrac{9+3}{2} \right)\implies \left( \cfrac{12}{2}~~,~~\cfrac{12}{2} \right)\implies \stackrel{M}{(6,6)}$

3 0

3 years ago

If n = 4, all of the following expressions are equivalent except

Lorico [155]

Answer:

n to the power of -2

Step-by-step explanation:

i counted all the others and this is the only one that doesn't add up to 16. the last answer is -16 not 16 so there you go.

8 0

4 years ago

Justin had cows ,sheep,and goats the number of cows was 32 and number of sheep was 12×the number of cows the number of goats was

iragen [17]

Answer:

432

Step-by-step explanation:

number of :cows =32

: sheep=12×32 =384

: goats = 1345+384=1728

if he seal 3/4 of his goat ........

3/4×1728= 1296

the remained goat is :

1728-1296=432

8 0

3 years ago