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Yakvenalex [24]
3 years ago
9

Helppppp thxxxxxxxxxx

Mathematics
1 answer:
ser-zykov [4K]3 years ago
6 0

Answer:

F. \frac{3}{2}

Step-by-step explanation:

\frac{a + 2b}{b}  =  \frac{7}{2}

Cross multiply:

7b= 2(a +2b)

Expand:

7b= 2a +4b

Bring all common variables to 1 side:

7b -4b= 2a

3b= 2a

divide by 2 on both sides:

\frac{3}{2} b = a

divide by b on both sides:

\frac{3}{2}  =  \frac{a}{b}  \\  \frac{a}{b}  =  \frac{3}{2}

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What is the measure of the angle mentioned in the picture below:
Anni [7]

Answer:

70

Step-by-step explanation:

since the left and right sides are equal length the left and right angles are 55 degrees. and since a triangle adds up to 180 degrees

180-55-55 = 70

I think you can also use sin cos tan to solve this but this way is much easier

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Use -3 for each of the numbers

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Caleb placed 3 yellow balls and 4 red balls in a row.
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I think it's C)144. because I think it's C

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A bag contains only red and blue marbles. Yasmine takes one marble at random from the bag. The probability that she takes a red
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4 years ago
In a certain population of mussels (Mytilus edulis), 80% of the individuals are infected with an intestinal parasite. A marine b
kirza4 [7]

Answer:

The probability that 85% or more of the sampled mussels will be infected is 0.1057.

Step-by-step explanation:

Let <em>X</em> = number of mussels infected with an intestinal parasite.

The probability that a random selected mussel is infected with an intestinal parasite is, <em>p</em> = 0.80.

A random sample of <em>n</em> = 100 mussels from the population are examined by a marine biologist.

The random variable <em>X</em> follows a Binomial distribution with parameters n = 100 and p = 0.80.

But the sample selected is too large, i.e. <em>n</em> = 100 > 30.

So a Normal approximation to binomial can be applied to approximate the distribution of \hat p<em>, </em>the sample proportion of mussels infected with an intestinal parasite, if the following conditions are satisfied:

  1. np ≥ 10
  2. n(1 - p) ≥ 10

Check the conditions as follows:

n × p = 100 × 0.80 = 80 > 10

n × (1 - p) = 100 × (1 - 0.80) = 20 > 10

Thus, a Normal approximation to binomial can be applied.

So,  the distribution of \hat p is:

\hat p\sim N(p, \frac{p(1-p)}{n}  )

Compute the probability that 85% or more of the sampled mussels will be infected as follows:

Apply continuity correction:

P(\hat p\geq 0.85)=P(\hat p>0.85+0.50)

                   =P(\hat p>0.90)\\

                   =P(\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n}}}>\frac{0.85-0.80}{\sqrt{\frac{0.80(1-0.80)}{100}}})

                   =P(Z>1.25)\\=1-P(Z

*Use a <em>z</em>-table for the probability.

Thus, the probability that 85% or more of the sampled mussels will be infected is 0.1057.

5 0
3 years ago
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