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Liula [17]
3 years ago
8

Please help me, I've been stuck on this problem forever and I need help! Please don't answer with something random to get points

. Answer the question please. I will mark Branliest.
Complete the two-column proof
Given: ∠1 is complementary to ∠2
→BD bisects ∠ADC
Prove: ∠1 is complementary to ∠3

Statement Reason
1. ∠1 is complementary to ∠2 1. ?

2. ? 2. Definition of complementary

3. ? 3. Given

4. ∠2 ≅ ∠3 4. ?

5. m∠2 = m∠3 5. ?

6. ? 6. Substitution property of equality

7. ? 7. ?

Mathematics
1 answer:
vodomira [7]3 years ago
8 0
1. given
2. measure angle 1 plus measure angle 2 equals 90 degrees
3. B D bisects angle A D C
4. definition of angle bisector
5. definition of congruence
6. measure angle 1 is equal to measure angle 3
7. angle 1 is congruent to angle 3
7. definition of congruence
hope that helps
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A woman is randomly selected from the 18–24 age group. For women of this group, systolic blood pressures (in mm Hg) are normally
Naddik [55]

Answer:

X \sim N(114.8,13.1)  

Where \mu=114.8 and \sigma=13.1

We are interested on this probability

P(X>140)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

And we can find this probability using the complement rule:

P(z>1.924)=1-P(z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(114.8,13.1)  

Where \mu=114.8 and \sigma=13.1

We are interested on this probability

P(X>140)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:P(X>140)=P(\frac{X-\mu}{\sigma}>\frac{140-\mu}{\sigma})=P(Z>\frac{140- 1114.8}{2.6})=P(z>1.924)And we can find this probability using the complement rule:

P(z>1.924)=1-P(z

8 0
3 years ago
(: Please answer both questions :)<br>First person gets 50 points!
Lemur [1.5K]

Answer:

1. 1350

2.2700

Step-by-step explanation:

4 0
3 years ago
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