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kow [346]
3 years ago
9

Who ever gets to this first, earns 100 pts! Please help!

Mathematics
2 answers:
Sphinxa [80]3 years ago
4 0

Answer:

  6. 135°

  7. 135°

Step-by-step explanation:

You have to assume that the figure is a regular octagon, so has central angles equal to exterior angles equal to 45°.

6. A regular anything is circumscribed by a circle, so the measure of any inscribed angle is half the measure of the corresponding central angle. That is, ∠BET =∠TBA = (45°)/2, so their sum is 45°. ∠BOT is the supplement of that, 180° - 45° = 135°.

__

7. ∠GIT + ∠ITS is the same measure as one internal angle of the octagon. That is the supplement of the exterior angle we identified above as being 45°.

  ∠GIT + ∠ITS = 135°

Ivahew [28]3 years ago
3 0

Answer:

kjbkajfkjsfjkhfkjsahfkjhsdkjfhskjhdfkjhsdjkfhkjsdhfkjsdhk

Step-by-step explanation:

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3 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.

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