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AlladinOne [14]
3 years ago
6

Given: In triangle ABC, ∠B ≅ ∠C Prove: AB ≅ AC Complete the paragraph proof. We are given that ∠B ≅ ∠C. Assume segment AB is not

congruent to . If AB > AC, then m∠C > m∠B by the . If AB < AC, then m∠C < m∠B by the converse of the triangle parts relationship theorem. But by the definition of congruent, we know the measure of angle B equals the measure of by the given statement. Therefore, we have a contradiction: AB = AC, and AB ≅ AC.

Mathematics
2 answers:
ELEN [110]3 years ago
4 0

Answer:    

Given: Here ABC is a triangle,

In which \angle B \cong \angle C

Prove: AB \cong AC

Let us assume AB is not congruent to AC.

If AB > AC,

Then m\angle C > m\angle B ( By the converse of the triangle parts relationship theorem )

If  If AB < AC, then m\angle C < m\angle B  ( by the converse of the triangle parts relationship theorem. )

But, by the definition of congruent,

We know \angle B \cong \angle C ( by the given statement.)

Therefore, we have a contradiction,

And, AB \cong AC  and AB = AC.


sineoko [7]3 years ago
4 0

Answer:

AB ≅ AC

Step-by-step explanation:

Given information: In triangle ABC, ∠B ≅ ∠C.

To prove: AB ≅ AC

Let us assume side AB is not congruent to side AC.

If AB > AC, then ∠B < ∠C ( By the converse of the triangle parts relationship theorem ).

If AB < AC, then ∠B > ∠C ( By the converse of the triangle parts relationship theorem ).

It is given that ∠B ≅ ∠C, so by the definition of congruent segment.

\angle B=\angle C

Therefore, we have a contradiction:

AB = AC

By the definition of congruent segment.

AB ≅ AC

Hence proved.

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Answer:

a)<em> Null hypothesis : H₀</em>:  the proportion of defective item of computer has been lowered. That is P < 0.15

<u><em>Alternative hypothesis: H₁:</em></u> The proportion of defective item of computer

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b)    Test statistic   Z = \frac{p-P}{\sqrt{\frac{PQ}{n} } }

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  Hence t<em>he proportion of defective item of computer has been lowered. </em>

Step-by-step explanation:

<u>Step(i)</u>:-

<em>Given the sample size 'n' = 42</em>

Given random sample of 42 computers were tested revealing a total of 4 defective computers.

The defective computers 'x' = 4

<em>The sample proportion of defective computers </em>

                                                                p = \frac{x}{n} = \frac{4}{42} = 0.095

<em>Given The Population proportion 'P' = 0.15</em>

<em>The level of significance ∝=0.01</em>

<u>Step(ii)</u>:-

a)<em> Null hypothesis : H₀</em>:  the proportion of defective item of computer has been lowered. That is P < 0.15

<u><em>Alternative hypothesis: H₁:</em></u> The proportion of defective item of computer

has been higher. That is P> 0.15 (Right tailed test)

b)

    Test statistic   Z = \frac{p-P}{\sqrt{\frac{PQ}{n} } }

                       

c)      

                 Z = \frac{0.095-0.15}{\sqrt{\frac{0.15(0.85)}{42} } }

                 z = \frac{-0.055}{\sqrt{0.00303} } = - 0.9991      

                     

  Calculate the value of the test statistic Z = - 0.9991

                                   |Z| = |- 0.9991| = 0.991

<u>Step(iii)</u>:-

d)

        The critical value at 0.01 level of significance = Z₀.₀₁ = 2.57

e)   Calculate the value of the test statistic Z = 0.991 < 2.57  at 0.01 level of significance.

<u><em>Conclusion</em></u>:-

    Hence the null hypothesis is accepted at 0.01 level of significance.

f)

<em>     The proportion of defective item of computer has been lowered.</em>

 

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