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Brums [2.3K]
2 years ago
10

NO LINKS!! Part 2Similarity Flow Chart Proofs​

Mathematics
1 answer:
STatiana [176]2 years ago
4 0

Answer:

  • See below

Step-by-step explanation:

<h3>#4</h3>

According to diagram we have

  • QR ≅ QT
  • QS ≅ QS (common side)
  • QSR ≅ QST (both right angles)

Considering above we can state

  • QSR ≅ QST by HL (hypotenuse-leg)
<h3>#5</h3>

Two angles are congruent but the order of angles is not same

Triangles are not similar.

<h3>#6</h3>

Two angles and a side are congruent but the order of angles is not same.

Triangles are not similar.

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Find the amount in an account where $500 is invested at 2.5% compounded continuously for period of 10 years
Alex17521 [72]

Hi

500 *1.025^10 ≈ 640.04

4 0
3 years ago
I have four bills that need to be paid this week. The electric bill is 182.17 the water bill is 92.55 the cell phone bill is 225
tangare [24]
The answer would be 200 + 200 +200+100 = 700
7 0
3 years ago
Read 2 more answers
(c) Use a calculator to verify that Σ(x) = 64, Σ(x2) = 1118, Σ(y) = 628, Σ(y2) = 87,982, and Σ(x y) = 9,627.
amid [387]

The correlation based on the computation is 0.97.

<h3>How to compute the value?</h3>

It should be noted that the question is that we should simply calculate the correlation which is r.

The correlation will be:

= Σ(x y) / (Σ(x²) × Σ(y²)

= 9627/✓(1118 × 87982)

= 9627 ✓98363876

= 9627/9917.86

= 0.97

Learn more about computations on:

brainly.com/question/4658834

#SPJ1

7 0
1 year ago
Formulas can be manipulated to solve for missing information.
shepuryov [24]
The formulas answer/ variable?
8 0
3 years ago
A particular sale involves four items randomly selected from a large lot that is known to contain 9% defectives. Let X denote th
umka2103 [35]

Answer:

The expected repair cost is $3.73.

Step-by-step explanation:

The random variable <em>X</em> is defined as the number of defectives among the 4 items sold.

The probability of a large lot of items containing defectives is, <em>p</em> = 0.09.

An item is defective irrespective of the others.

The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> = 9 and <em>p</em> = 0.09.

The repair cost of the item is given by:

C=3X^{2}+X+2

Compute the expected cost of repair as follows:

E(C)=E(3X^{2}+X+2)

        =3E(X^{2})+E(X)+2

Compute the expected value of <em>X</em> as follows:

E(X)=np

         =4\times 0.09\\=0.36

The expected value of <em>X</em> is 0.36.

Compute the variance of <em>X</em> as follows:

V(X)=np(1-p)

         =4\times 0.09\times 0.91\\=0.3276\\

The variance of <em>X</em> is 0.3276.

The variance can also be computed using the formula:

V(X)=E(Y^{2})-(E(Y))^{2}

Then the formula of E(Y^{2}) is:

E(Y^{2})=V(X)+(E(Y))^{2}

Compute the value of E(Y^{2}) as follows:

E(Y^{2})=V(X)+(E(Y))^{2}

          =0.3276+(0.36)^{2}\\=0.4572

The expected repair cost is:

E(C)=3E(X^{2})+E(X)+2

         =(3\times 0.4572)+0.36+2\\=3.7316\\\approx 3.73

Thus, the expected repair cost is $3.73.

4 0
3 years ago
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