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Darya [45]
3 years ago
13

Sketch the following to help answer the question. Kite WXYZ has a short diagonal of XZ and a long diagonal of WY. The diagonals

intersect at point V. The length of XZ = 8cm, and the measure of ∠XYV is 30 degrees. Find the length of segment VY.
16cm
8√3cm
8cm
4√3cm

Mathematics
2 answers:
vovikov84 [41]3 years ago
6 0

Answer:

(D)

Step-by-step explanation:

It is given that Kite WXYZ has a short diagonal of XZ and a long diagonal of WY. The diagonals intersect at point V. The length of XZ = 8cm, and the measure of ∠XYV is 30°.

We know that, in Kite, the diagonals are the perpendicular bisectors, therefore ∠V=90° and XZ=8⇒XV=4cm

Now, from ΔXVY, we have

\frac{XV}{VY}=tan30^{\circ}

⇒\frac{4}{VY}=\frac{1}{\sqrt{3}}

⇒VY=4\sqrt{3}cm

Therefore, the length of the segment VY is 4\sqrt{3}cm.

MakcuM [25]3 years ago
4 0
XV = 8 cm and angle XYV = 30

Tangent (XYV) = XV / VY
Tangent (30) = 4 cm / VY
VY = 4 cm / 0.57735
VY = <span> <span> <span> 6.9282064606 cm </span> </span> </span>

= 4 * square root (3)


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QveST [7]

Answer:

The data set <em>N</em> has a better linear model.

Step-by-step explanation:

The data for the two data sets is:

Data Set M: {(14,95), (9,85), (4,65), (6,80), (3,73), (12,107), (7,64), (12,86), (10,96), (9,64), (1,44)}

Data Set N: {(13,109), (9,85), (4,65), (6,80), (3,63), (12,107), (7,76), (11,100), (10,96), (8,85), (1,44)}

The Correlation coefficient can be computed in Excel using the function:

CORREL(array1, array2)

Consider the table attached below for the correlation for data M and N.

Correlation coefficient for data M = 0.81

Correlation coefficient for data N = 0.99

Closer the correlation value is to 1 or -1, the better is the linear model.

This is because the correlation value of 1 or -1 are considered as perfect correlation.

The correlation coefficient for data N is 0.99 which is approximately equal to 1.

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2 years ago
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The manufacturer of the ColorSmart-5000 television set claims 95 percent of its sets last at least five years without needing a
patriot [66]

Answer:

Step-by-step explanation:

Hello!

Your study variable is X: "number of ColorSmart-5000 that didn't need repairs after 5 years of use, in a sample of 390"

X~Bi (n;ρ)

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Applying the Central Limit Theorem you approximate the distribution of the sample proportion to normal to obtain the statistic to use.

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With a confidence level of 99% you'd expect that the interval [0.726;0.834] contains the true value of the proportion of ColorSmart-5000 that didn't need repairs after 5 years of use.

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