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ValentinkaMS [17]
4 years ago
11

Can the distributive property be used to rewrite 2x(9-6)

Mathematics
1 answer:
KonstantinChe [14]4 years ago
6 0
No. The variable makes it to where you’re unable to multiply 2 by the numbers in the parentheses.
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There are 20 people at a party 2 are best friends. What is the possibility of them both being pretty?​
Oliga [24]
I ain’t never seen two pretty best friends, always one of them gotta be ugly
7 0
3 years ago
A normally distributed random variable with mean 4.5 and standard deviation 7.6 is sampled to get two independent values, X1 and
mr Goodwill [35]

Answer:

Bias for the estimator = -0.56

Mean Square Error for the estimator = 6.6311

Step-by-step explanation:

Given - A normally distributed random variable with mean 4.5 and standard deviation 7.6 is sampled to get two independent values, X1 and X2. The mean is estimated using the formula (3X1 + 4X2)/8.

To find - Determine the bias and the mean squared error for this estimator of the mean.

Proof -

Let us denote

X be a random variable such that X ~ N(mean = 4.5, SD = 7.6)

Now,

An estimate of mean, μ is suggested as

\mu = \frac{3X_{1} + 4X_{2}  }{8}

Now

Bias for the estimator = E(μ bar) - μ

                                    = E( \frac{3X_{1} + 4X_{2}  }{8}) - 4.5

                                    = \frac{3E(X_{1}) + 4E(X_{2})}{8} - 4.5

                                    = \frac{3(4.5) + 4(4.5)}{8} - 4.5

                                    = \frac{13.5 + 18}{8} - 4.5

                                    = \frac{31.5}{8} - 4.5

                                    = 3.9375 - 4.5

                                    = - 0.5625 ≈ -0.56

∴ we get

Bias for the estimator = -0.56

Now,

Mean Square Error for the estimator = E[(μ bar - μ)²]

                                                             = Var(μ bar) + [Bias(μ bar, μ)]²

                                                             = Var( \frac{3X_{1} + 4X_{2}  }{8}) + 0.3136

                                                             = \frac{1}{64} Var( {3X_{1} + 4X_{2}  }) + 0.3136

                                                             = \frac{1}{64} ( [{3Var(X_{1}) + 4Var(X_{2})]  }) + 0.3136

                                                             = \frac{1}{64} [{3(57.76) + 4(57.76)}]  } + 0.3136

                                                             = \frac{1}{64} [7(57.76)}]  } + 0.3136

                                                             = \frac{1}{64} [404.32]  } + 0.3136

                                                             = 6.3175 + 0.3136

                                                              = 6.6311

∴ we get

Mean Square Error for the estimator = 6.6311

6 0
3 years ago
1,220,000,000 in scientific notation?<br><br> 0.0287 in scientific notation?
ExtremeBDS [4]
Answer:
= 1.22 × 109
(scientific notation)

= 1.22e9
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= 1.22 × 109
(engineering notation)
(billion; prefix giga- (G))

= 1220000000
<span>(real number)
</span>_________________________________________________

Answer:
= 2.87 × 10-2
(scientific notation)

= 2.87e-2
(scientific e notation)

= 28.7 × 10-3
(engineering notation)
(thousandth; prefix milli- (m))

= 0.0287
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It’s only 10 points but it’s all i got (:
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Answer:

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3 years ago
I dont know how to solve this does anybody?
postnew [5]

Answer:

3x + 7 + 5

Step-by-step explanation:

I could be wrong... there are 3 x's so that would be 3x, and then the 7 and 5. sorry if i'm wrong

5 0
3 years ago
Read 2 more answers
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