All categories

3 years ago

−3,−8,12,−15,9 find the mean

2 answers:

6 0

First we have to add all five numbers up then divide that total to get the mean (which is the average)
So -5 divided by 5 is -1
The mean is -1

Jobisdone [24]3 years ago

4 0

Answer:

if any girl want to be my friend?

You might be interested in

40 is what percent of 32?

Daniel [21]

Answer:

125%

Step-by-step explanation:

Is means equals and of means multiply

40 = P * 32 where P is in decimal form

Divide each side by 32

40/32 = P

1.25 = P

Now change to percent form ( multiply by 100)

125%

7 0

3 years ago

Read 2 more answers

Andrew purchased a car for $19,500 the value of the car depreciates at a rate of 8.6% each year. which equation models the value

pav-90 [236]

If the value depreciates 8.6%, it is 91.4% of what it was the year before. The value can be modeled by
y = 19500(0.914)^x

7 0

3 years ago

Use the Parent function and Function 2 to choose the best statement comparing the graphs to each other.

kogti [31]

Answer:

the answer is A&d

Step-by-step explanation:

I took the quiz and got 100

3 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

The measure of angel A is 55° and is complementary to the measure of angle B. If the measure or angle B is X , what is the value

PSYCHO15rus [73]

Answer:

45 or least

Step-by-step explanation:

I'm guessing that the angel is acute

7 0

3 years ago