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Vinvika [58]
3 years ago
9

49of students at a school are boys. If there are 2610 students at the school, how many are girls?

Mathematics
1 answer:
ddd [48]3 years ago
5 0

Answer:

1,332 girls

Step-by-step explanation:

(49*2610)/100 = 1278

2610 - 1278 = 1332

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Any altitude of an isosceles triangle is also a median of the triangle true or false ?
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The altitude drawn to the base is the median and the angle bisector.

Answer is true

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3 years ago
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A child has toy blocks that contain the numbers 1 through 80. What is the probability that the will pick up a number that is
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Answer:

73/80

Step-by-step explanation:

multiples of 11 between 1 and 80 are 11,22,33,44,55,66,77

number of terms=7

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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

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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







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Step-by-step explanation:

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