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I am Lyosha
6 days ago
8

Elyria Warehousing desired to locate a central warehouse to serve five Ohio markets. Placed on a grid system, its five markets h

ad coordinates and demand as shown below.
Location Coordinates (miles)

Demand (units)

(45, 65)

2,200

(120, 55)

900

(160, 95)

1,300

(100, 200)

1,750

(195, 175)

3,100



Calculate the Y-coordinate of the center-of-gravity location using the center-of-gravity technique.

69 miles
131 miles
53 miles
197 miles
171 miles
Mathematics
1 answer:
Svet_ta [9.5K]6 days ago
7 0
The answer is option 2.
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Two parallel lines are crossed by a transversal. Parallel lines x and y are cut by transversal w. On line x where it intersects
AnnZ [9099]

Answer:

118.2°

Step-by-step explanation:

Dos líneas paralelas x e y son cortadas por la transversal w (ver el diagrama adjunto).

Se forman 8 ángulos (denominados 1, 2, 3, 4, 5, 6, 7 y 8).

Los ángulos 1 y 6 son ángulos del mismo lado cuando dos líneas paralelas x e y son cortadas por la transversal w.

Dos ángulos del mismo lado son suplementarios (suman 180°). Esto significa

m\angle 1+m\angle 6=180^{\circ}

Dado m\angle 1=61.8^{\circ}, por lo que

m\angle 6=180^{\circ}-61.8^{\circ}=118.2^{\circ}

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27 days ago
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Question 1 Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your metho
babunello [8412]

Answer:

(a) The 95% confidence interval representing the percentage of the entire U.S. population that would select American football as their preferred television sport is (0.34, 0.40).

(b) Not reasonable.

Step-by-step explanation:

Given:

n = 1000

\hat p = 0.37

(a)

The confidence interval (1 - α)% for proportion p is:

CI=\hat p\pm z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}

Where:

\hat p = the sample proportion

n = sample size

z_{\alpha/2} = critical z value.

Calculate the critical value of z for a 95% confidence level as shown:

z_{\alpha/2}=z_{0.05/2}=z_{0.025}=1.96

*Refer to a z-table for the necessary value.

Compute the 95% confidence interval for proportion p as follows:

CI=\hat p\pm z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}

=0.37\pm 1.96\times\sqrt{\frac{0.37(1-0.37)}{1000}}

=0.37\pm 0.03\\=(0.34, 0.40)

Thus, the 95% confidence interval indicating the proportion of individuals in the U.S. who might say their preferred sport on TV is American football is (0.34, 0.40).

(b)

Next, we must assess if it's rational to consider that the actual percent of people in the United States who favor American football on television is 33%.

The hypothesis is defined as:

H₀: The portion of the U.S. population claiming American football as their favorite sport on television is 33%, meaning p = 0.33.

Hₐ: The proportion of people in the U.S. whose favorite sport to watch on television is not 33%, or p ≠ 0.33

This hypothesis can be verified using a confidence interval.

The decision rule:

If the (1 - α)% confidence interval contains the null value of the hypothesis, then the null hypothesis is not rejected. If, however, the (1 - α)% confidence interval excludes the null value of the hypothesis, then the null hypothesis is rejected.

<pthe confidence="" interval="" for="" the="" proportion="" of="" all="" u.s.="" individuals="" indicating="" that="" american="" football="" is="" their="" favorite="" sport="" on="" television="">

The confidence interval does encompass the null value of p, which is 0.33.

<pthus the="" null="" hypothesis="" will="" be="" rejected.=""><pin conclusion="" it="" is="">not reasonable to accept that 33% represents the actual percentage of those in the U.S. whose favorite televised sport is American football.

</pin></pthus></pthe>
6 0
1 month ago
Emi computes the mean and variance for the population data set 87, 46, 90, 78, and 89. She finds the mean is 78. Her steps for f
AnnZ [9099]
Let’s determine the actual mean

First, we sum all the values

87+46+90+78+89 = 390

Then, we divide 390 by the count of numbers present.

390/5 = 78

Thus, the mean is 78

Emi did not manage to calculate the difference
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X = 28

there are two similar triangles with a scale factor of 1/7.
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M=1/2 (d1+d2) solve for d1
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