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svlad2 [7]
2 years ago
9

If anyone can help me with this then thank you. :)

Mathematics
1 answer:
Andreyy892 years ago
4 0

Answer:

steps below

Step-by-step explanation:

(a) first green: 8/23 AND 2nd green: 7/22

AND: multiplication.. 8/23 x 7/22 = 28/253 ≈ 0.11 (11%)

(b) 15/23 x 8/22

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What’s the distance between -7,1 and 0,-6
barxatty [35]

Answer:

9.899495

Step-by-step explanation:

=(0−(−7))2+(−6−1)2−−−−−−−−−−−−−−−−−−−√

d=(7)2+(−7)2−−−−−−−−−−√

d=49+49−−−−−−√

d=9–√8

d=9.899495

4 0
3 years ago
Please help! I really need help on this. Also if I could get an explanation on this it would really help.
Firdavs [7]

Answer:

x= 10

Step-by-step explanation:

Since the triangles are congruent

<B = <E

50 = 5x

Divide each side by 5

50/5 = 5x/5

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3 years ago
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Jonathan parents told him that for every 5 hours of homework or reading he completed
Murrr4er [49]
Finish your statement... I'm anxious to help!
4 0
3 years ago
Which of the following is an irrational number? <br> A 2.145<br> B -3 <br> C 0<br> D π .
RoseWind [281]

Answer:

D. is the correct answer


6 0
4 years ago
Read 2 more answers
A group of researchers wants to know whether men are more likely than women to contract a novel coronavirus. They surveyed two r
olasank [31]

Answer:

Test statistic Z= 0.13008 < 1.96 at 0.10 level of significance

null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women

Step-by-step explanation:

<em>Step(I)</em>:-

Given surveyed two random samples of 390 men and 360 women who were tested

first sample proportion

                    p_{1} = \frac{360}{390} = 0.9230

second sample proportion

                  p_{2} = \frac{47}{52} = 0.9038

Step(ii):-

Null hypothesis : H₀ : There is no difference  proportion of positive tests among men is different from the proportion of positive tests among women

Alternative Hypothesis:-

There is difference between proportion of positive tests among men is different from the proportion of positive tests among women

 

Z = \frac{p_{1}- p_{2} }{\sqrt{PQ(\frac{1}{n_{1} }+\frac{1}{n_{2} }  } }

where

          P = \frac{n_{1}p_{1} +n_{2}  p_{2} }{n_{1}+n_{2}  }

         P =  0.920

Z= \frac{0.9230-0.9038}{\sqrt{0.920 X0.08(\frac{1}{390}+\frac{1}{52}  } )}

Test statistic Z =  0.13008

Level of significance = 0.10

The critical value Z₀.₁₀ = 1.645

Test statistic Z=0.13008 < 1.645 at 0.1 level of significance

Null hypothesis is accepted

There is no difference proportion of positive tests among men is different from the proportion of positive tests among women







7 0
3 years ago
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