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Scrat [10]
2 years ago
8

Tyrell is going to be use ASA to prove that PQR=SQR

Mathematics
2 answers:
motikmotik2 years ago
8 0

Presumably our goal is to show PRQ=SRQ, PQR=SQR and QR=QR for ASA.

A. QR=QR is the reflexive property; things are congruent to themselves, TRUE

B. We need to prove that, but it doesn't have anything to do with the symmetric property.

C. PQ=SQ isn't something we'd need to show for our ASA proof

D. Again, not the symmetric property.

Answer: A

N76 [4]2 years ago
7 0

Answer: A. Prove that QR≅QR by the reflexive property.

Step-by-step explanation:

ASA postulate says that if two angles and the included side of a triangle are congruent to two angles and the included side of other triangle then the triangles are said to be congruent.  

In the given triangles ΔPQR and ΔSQR

∠PQR ≅∠SQR     {given}

∠QRP ≅ ∠QRS     {given}

In the figure , the included side of ∠PQR and ∠QRP= QR

The included side of ∠SQR  and ∠QRS =OR

So we need to probe QR≅QR by Reflexive property, to prove triangles ΔPQR and ΔSQR are congruent.

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What is the completely factored form of p4 - 16?
il63 [147K]

The completely factored form of p^4-16 is:

(p^2+4)(p+2)(p-2)

Step-by-step explanation:

We have to factorize the given expression to get the final result

Given

p^4-16\\Using\ Formula: a^2-b^2=(a+b)(a-b)\\(p^2)^2-(4)^2\\=(p^2+4)(p^2-4)

p^2-4 can further be factored again

=(p^2+4)[(p)^2-(2)^2]\\=(p^2+4)(p+2)(p-2)

The completely factored form of p^4-16 is:

(p^2+4)(p+2)(p-2)

Keywords: Factorization

Learn more about factorization at:

  • brainly.com/question/9323337
  • brainly.com/question/9381080

#LearnwithBrainly

8 0
2 years ago
Use the normal approximation to the binomial distribution to answer this question. Fifteen percent of all students at a large un
Nataly_w [17]

Answer: 0.1289

Step-by-step explanation:

Given : The proportion of all students at a large university are absent on Mondays. : p=0.15

Sample size : n=12

Mean : \mu=np=12\times0.15=1.8

Standard deviation = \sigma=\sqrt{np(1-p)}

\Rightarrow\ \sigma=\sqrt{12(0.15)(1-0.15)}=1.23693168769\approx1.2369

Let x be a binomial variable.

Using the standard normal distribution table ,

P(x=4)=P(x\leq4)-P(x\leq3)              (1)

Z score fro normal distribution:-

z=\dfrac{x-\mu}{\sigma}

For x=4

z=\dfrac{4-1.8}{1.2369}\approx1.78

For x=3

z=\dfrac{3-1.8}{1.2369}\approx0.97

Then , from (1)

P(x=4)=P(z\leq1.78)-P(z\leq0.97)\\\\=0.962462-0.8339768\approx0.1289    

Hence, the probability that four students are absent = 0.1289

3 0
2 years ago
For every $12 Maria earns babysitting, she donates $2 to the local pet shelter. Last week, Maria earned a total of $60. Of the $
insens350 [35]
Answer is $14, I think.
4 0
2 years ago
A bicycle wheel has an inside radius of 12 inches. Which expression could be used to find the inside circumference of this wheel
il63 [147K]

Step-by-step explanation:

We have given that,

The inner radius of a bicycle wheel is 12 inches.

It is required to find the expression to find the inside circumference of this wheel.

The outer surface of the wheel is equal to its circumference. It is given by :

C=2\pi r

r is radius of wheel

C=2\times 3.14\times 12\\\\C=75.36\ \text{inches}

This is the required explanation.

5 0
2 years ago
A statistics practitioner in a large university is investigating the factors that affect salary of professors. He wondered if ev
Ulleksa [173]

Answer:

Step-by-step explanation:

Hello!

Given the linear regression of Y: "Annual salary" as a function of X: "Mean score on teaching evaluation" of a population of university professors. It is desired to study whether student evaluations are related to salaries.

The population equation line is

E(Y)= β₀ + β₁X

Using the information of a n= 100 sample, the following data was calculated:

R²= 0.23

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Intercept    25675.5           11393

x                  5321                  2119

The estimated equation is

^Y= 25675.5 + 5321X

Now if the interest is to test if the teaching evaluation affects the proffesor's annual salary, the hypotheses are:

H₀: β = 0

H₁: β ≠ 0

There are two statistic you can use to make this test, a Student's t or an ANOVA F.

Since you have information about the estimation of  β you can calculate the two tailed t test using the formula:

t= \frac{b - \beta }{\frac{Sb}{\sqrt{n} } } ~t_{n-2}

t= \frac{ 5321 - 0 }{\frac{2119}{\sqrt{100} } } = 25.1109

The p-value is two-tailed, and is the probability of getting a value as extreme as the calculated t_{H_0} under the distribution t_{98}

p-value < 0.00001

I hope it helps!

3 0
2 years ago
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