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Fiesta28
17 days ago
8

There were 5,317 previously owned homes sold in a western city in the year 2000. The distribution of the sales prices of these h

omes was strongly right-skewed, with a mean of $206,274 and a standard deviation of $37,881. If all possible simple random samples of size 100 are drawn from this population and the mean is computed for each of these samples, which of the following describes the sampling distribution of the sample mean?
(A) Approximately normal with mean $206,274 and standard deviation $3,788
(B) Approximately normal with mean $206,274 and standard deviation $37,881
(C) Approximately normal with mean $206,274 and standard deviation $520
(D) Strongly right-skewed with mean $206,274 and standard deviation $3,788
(E) Strongly right-skewed with mean $206,274 and standard deviation $37,881
Mathematics
1 answer:
tester [8.8K]17 days ago
4 0

Answer:

(A) Approximately normal with a mean of $206,274 and a standard deviation of $3,788.

Step-by-step explanation:

The Central Limit Theorem asserts that for a random variable X that follows a normal distribution with a mean of \mu and a standard deviation of \sigma, the sampling distribution of sample means, when drawn with size n, can be estimated as a normal distribution with a mean of \mu and a standard deviation of s = \frac{\sigma}{\sqrt{n}}.

Even if the variable is skewed, as long as n is no less than 30, the Central Limit Theorem still holds.

Population:

Right skewed

Mean $206,274

Standard deviation $37,881.

Sample:

<pbased on="" the="" central="" limit="" theorem="" it="" can="" be="" approximated="" to="" normal.="">

Mean $206,274

Standard deviation s = \frac{37881}{\sqrt{100}} = 3788.1

So the correct answer is:

(A) Approximately normal with a mean of $206,274 and a standard deviation of $3,788.

</pbased>
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Suppose that the weights of airline passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation
Zina [9179]

Answer:

There is a probability of 24.51% that the weight of a bag exceeds the maximum permitted weight of 50 pounds.

Step-by-step explanation:

Problems dealing with normally distributed samples can be addressed using the z-score formula.

For a set with the mean \mu and a standard deviation \sigma, the z-score for a measure X is calculated by

Z = \frac{X - \mu}{\sigma}

Once the Z-score is determined, we consult the z-score table to find the related p-value for this score. The p-value signifies the likelihood that the measured value is less than X. Since all probabilities total 1, calculating 1 minus the p-value gives us the probability that the measure exceeds X.

For this case

Imagine the weights of passenger bags are normally distributed with a mean of 47.88 pounds and a standard deviation of 3.09 pounds, thus \mu = 47.88, \sigma = 3.09

What probability exists that a bag’s weight will surpass the maximum allowable of 50 pounds?

That translates to P(X > 50)

Thus

Z = \frac{X - \mu}{\sigma}

Z = \frac{50 - 47.88}{3.09}

Z = 0.69

Z = 0.69 has a p-value of 0.7549.

<pthis indicates="" that="" src="https://tex.z-dn.net/?f=P%28X%20%5Cleq%2050%29%20%3D%200.7549" id="TexFormula10" title="P(X \leq 50) = 0.7549" alt="P(X \leq 50) = 0.7549" align="absmiddle" class="latex-formula">.

Additionally, we have that

P(X \leq 50) + P(X > 50) = 1

P(X > 50) = 1 - 0.7549 = 0.2451

There is a probability of 24.51% that the weight of a bag will exceed the maximum allowable weight of 50 pounds.

</pthis>
6 0
21 day ago
At a large company, employees can take a course to become certified to perform certain tasks. There is an exam at the end of the
Leona [9271]

Answer:

A Type II error occurs when the null hypothesis is not rejected, even when the alternative hypothesis is actually valid.

<pin this="" scenario="" it="" suggests="" that="" the="" new="" program="" genuinely="" improves="" pass="" rate="" yet="" sample="" size="" is="" insufficient="" statistical="" evidence="" to="" prove="" it.="" consequently="" null="" hypothesis="" remains="" accepted.="">

The implication is that the new method may be dismissed or altered despite it being a real enhancement.

Step-by-step explanation:

</pin>
5 0
1 month ago
Based on the graph shown to the right, whose phones cost varies directly with the amount of time spent talking?
Inessa [9006]

Answer:

B

Step-by-step explanation:

If two quantities have a direct variation, their graph will originate from the point of intersection at the origin.

Among all graphs, only Nikiya's intersects the origin, thus the answer is B.



8 0
27 days ago
Read 2 more answers
In triangle JKL, sin(b°) = three fifths and cos(b°) = four fifths. If triangle JKL is dilated by a scale factor of 2, what is ta
Inessa [9006]

Answer:

Tan(b°) = 3/4, which is equivalent to three fourths (C).

Step-by-step explanation:

Triangle JKL is a right triangle with angle K being the right angle and angle L equal to b°.

We will employ SOHCAHTOA principles from trigonometry to calculate the sides' values.

For triangle ∆JKL:

Sin(b°) = opposite/hypotenuse

Sin(b°) = 3/5

Cos(b°) = adjacent/hypotenuse

Cos(b°) = 4/5

Tan(b°) = 3/4.

From the earlier information, we have the values for each side of triangle ∆JKL.

Please refer to the attached diagram for the triangle (1).

Triangle ∆JKL is scaled with a factor of 2.

This implies multiplying each side of ∆JKL by 2, resulting in:

Opposite side = 2(3) = 6

Adjacent side = 2(4) = 8

Hypotenuse = 2(5) = 10.

To find tan(b°) for the new triangle, we use the tangent ratio:

Tan(b°) = opposite/adjacent.

Tan(b°) = 6/8.

Tan(b°) = 3/4.

Find the diagram for the new triangle included (2).

Diagram 3 provides a depiction of both triangles.

As shown, the angle remains unchanged when a triangle is scaled by a factor.

Thus, we conclude that tan(b°) = three fourths (C).

6 0
21 day ago
If y varies directly as x, and y is 20 when x is 4, what is the constant of variation for this relation?
Leona [9271]
The constant of variation is 5 because 4 multiplied by 5 equals 20.
6 0
1 month ago
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