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OleMash [197]
3 years ago
14

What is the value of X ?

Mathematics
1 answer:
hjlf3 years ago
8 0
Because both lines DE and XY are parallel to one another, the 115° will be same for the line segment. XY

And because XY is a flat line, it's a straight angle. Meaning it's an 180° angle.

We need to find a value of x that when added 115° will equal 180°.

We can use this equation: x + 115 = 180

Subtract both sides 115.

x + 115 - 115 = 180 - 115
x = 65

So, x is equal to 65 degrees.
You might be interested in
Solve the formula for the indicated variable.<br> A = 4πr² for r when r &gt; 0<br><br> r =
SashulF [63]

Answer:

√(A/4π) = r

Step-by-step explanation:

A = 4πr²

r² = A/4π

r = √(A/4π)

8 0
3 years ago
Read 2 more answers
In an election, the population consists of the people who voted. Although there is overall data on how the population voted, the
andrew-mc [135]

Answer:

Answer:

P(A) = 0.39

Step-by-step explanation:

We are given;

P(W|A) = 0.7

P(W|A^c ) = 0.3

We are told that 60% of the respondents said they voted for A. Thus;

P(A|W) = 60% = 0.6

Now, using the principle of drawing lots, we can be able to find the probability of the event that they are willing to participate in the exit poll which is P(W).

Thus;

P(W) = [P(W|A) × P(A)] +[P(W∣A^c) × P(A^c)]

Now, P(A^c) can be expressed as 1 - P(A)

Thus, we now have;

P(W) = [P(W|A) × P(A)] + [P(W∣A^c) × (1 - P(A)]

Plugging in the relevant values gives;

P(W) = 0.7P(A) + 0.3(1 - P(A))

P(W) = 0.7P(A) + 0.3 - 0.3P(A)

P(W) = 0.3 + 0.4P(A)

Now,using Baye's theorem, we can find an expression for P(A|W)

Thus;

P(A|W) = [P(A ∩ W)]/P(W)

This can be further expressed as;

P(A|W) = [P(A) × P(W|A)]/P(W)

Plugging in relevant values, we have;

0.6 = 0.7P(A)/(0.3 + 0.4P(A))

Cross multiply to get;

0.6(0.3 + 0.4P(A)) = 0.7P(A)

0.18 + 0.24P(A) = 0.7P(A)

0.18 = 0.7P(A) - 0.24P(A)

0.46P(A) = 0.18

P(A) = 0.18/0.46

P(A) = 0.39

Step-by-step explanation:

braniest

4 0
3 years ago
Help me with math questions urgent Thanks
aleksandrvk [35]

Answer:  x = 2.65, y = 3.81

Step-by-step explanation:

          ABC similar to PQR

1) Find the ratio of corresponding sides

2) Use that ratio to find values for x & y

        1) Side AB = 2.76cm & Side PR = <em>y</em><em> </em>cm

             Side BC = <em>x</em> cm & Side RQ = 3.66 cm

         Side CA = 3 cm & Side QP = 4.14 cm (both lengths given)    

Can match 3 to 4.14 & ratio of sides in ABC to PQR= 3 /4.14

Length of sides ABC = 3/4.14 times the length of sides PQR

           2)  x = (3 / 4.14) * 3.66 = 2.65

            Now solve for y, ABC to PQR:  2.76 = (3 / 4.14) (<em>y </em>)

<em>equality property</em> (both sides) & inverse operation to isolate <em>y : </em> .               2.76 ÷ (3 / 4.14) = (3 / 4.14 ) ÷ (3 / 4.14) (<em>y</em><em>)</em>

              2.76 * (4.14 / 3) =  3 / 4.14 * (4.14 / 3) (<em>y</em><em>)</em>

                     (2.76 * 1.38 ) =  3.81  = <em>y</em>

<em></em>

<em>Scale Factor Method:  Determine the Multiplier</em>

Small to Big or Big to Small ➜ Be sure not to switch

7 0
3 years ago
Please help! Question below (:
Ket [755]

The 3 inside angles of a triangle need to equal 180 degrees.


You are given 28 for one.

The second on is adding 58 + 77 = 135 degrees.


X = 180 - 28 - 135 = 17 degrees

5 0
3 years ago
There are big spenders among University of Alabama football season ticket holders. This data set Roll Tide!! shows the dollar am
Bas_tet [7]

Using the z-distribution, as we have a proportion, the 95% confidence interval is (0.2316, 0.3112).

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions is given by:

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which:

  • \pi is the sample proportion.
  • z is the critical value.
  • n is the sample size.

In this problem, we have a 95% confidence level, hence\alpha = 0.95, z is the value of Z that has a p-value of \frac{1+0.95}{2} = 0.975, so the critical value is z = 1.96.

We also consider that 130 out of the 479 season ticket holders spent $1000 or more at the previous two home football games, hence:

n = 479, \pi = \frac{130}{479} = 0.2714

Hence the bounds of the interval are found as follows:

\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2714 - 1.96\sqrt{\frac{0.2714(0.7286)}{479}} = 0.2316

\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.2714 + 1.96\sqrt{\frac{0.2714(0.7286)}{479}} = 0.3112

The 95% confidence interval is (0.2316, 0.3112).

More can be learned about the z-distribution at brainly.com/question/25890103

7 0
2 years ago
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