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wolverine [178]
3 years ago
13

With working steps :)​

Mathematics
1 answer:
Debora [2.8K]3 years ago
5 0

Answer:

Surface area =132cm

Step-by-step explanation:

Formula= 2A(b)+(a+b+c)h

This one is really long

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A piece of equipment is purchased for $18,000.00 and has a salvage value of $2,000.00. The estimated life is 10 years and the me
const2013 [10]
The full $1921.00 because of company incrued cost
6 0
3 years ago
What is (1,5) and (-2,-1) in slope intercept form
Tasya [4]

Answer: y=2x+3

Step-by-step explanation:

y=mx+b

slope: 2

Y-intercept: 3

I'm sorry if this is wrong!

5 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
3 Questions Math! HELP!!!
Sveta_85 [38]
1) Since the larger number is a negative, you’re going to get a negative solution for number one. An easy way to do the math is to ignore the negative sign in (-116) For a moment. And subtract 56 from it.
116 - 56 = 60. Don’t forget to place the negative sign we pushed to this side before the solution. The answer is -60.

2) We do the same thing we did in number one, but with new numbers. The answer in total is -178.

3. As stated, we do the same thing we did in number one. Just because there’s a decimal doesn’t change much. And your answer would be -1.1
8 0
3 years ago
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Shelia went snowboarding. She spent $118 for the pass and snowboard rental. The snowboard rental cost $25. What percent of the t
padilas [110]
I believe the answer is about 78.81% because you subtract 25 from 118. Then that would be 93. 118 is equal to the 100% and 118 divide by 1.18 equals 100. Divide 93 from 1.18 gives you the answer
5 0
3 years ago
Read 2 more answers
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