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DaniilM [7]
3 years ago
13

Classify the following triangle. Check all that apply.

Mathematics
1 answer:
tangare [24]3 years ago
7 0

Answer:

A.iscoseles

b.obtuse

c.acute

Step-by-step explanation:

iscoseles 2 sides equal ome side not

obtuse an angle greater tha 90degree

acute angle less rhan 90degree

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The graph of f(x) is shown.
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Answer:

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Step-by-step explanation:

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The nutrition supervisor for a school district is considering adding a baked potato bar to the lunch for all the high school caf
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There is convincing evidence because the entire interval is above 0.

<h3>When does a confidence interval for the difference of proportions gives convincing evidence that there is a difference?</h3>

It gives convincing evidence when 0 is not part of the confidence interval.

In this problem, the interval is (0.02, 0.38), which does not contain 0, hence the correct option is:

There is convincing evidence because the entire interval is above 0.

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Based on a​ poll, among adults who regret getting​ tattoos, ​16% say that they were too young when they got their tattoos. Assum
e-lub [12.9K]

Answer:

The problem is incomplete, but it is solved using a binomial distribution with n = 8 and p = 0.16

Step-by-step explanation:

For each adult who regret getting tattoos, there are only two possible outcomes. Either they say that they were too young, or they do not say this. The answer of an adult is independent of other adults, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

​16% say that they were too young when they got their tattoos.

This means that p = 0.16

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This means that n = 8

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The binomial distribution is used, with p = 0.16, n = 8, that is:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

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