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Ksivusya [100]
3 years ago
10

Which of the following is true of commerce in the Indian Ocean during the time period 1000-1450?

Advanced Placement (AP)
1 answer:
Oduvanchick [21]3 years ago
4 0
The answer should be E

The Indian ocean trade had very diverse merchants
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Test norms consist of data that make it possible to determine the relative standing of an individual who has taken a test. By itself, a subject's raw score (e.g., the number of answers that agree with the scoring key) has little meaning. ... Norms provide a basis for comparing the individual with a group.

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The most ethical action the football player could take is to report the hazard. He would be tempted by his desire to succeed/win the playoff, as it is an important game. If I was the football player, I would report the hazard because if I didn’t, someone could get hurt or my team could be punished/forced to forfeit.
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C. Double Jeopardy Clause.

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If the wait time is less than 30 minutes for 75% of all patients in the emergency room, what is the probability that the
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The probability that the proportion of patients who wait less than 30 minutes is 0.582 or less is 0.0020

<h3>What is probability? </h3>

Probability can be defined as the likelihood of an event to occur. In statistics, the mean of the sample distribution typically shows the probability of the population.

From the parameters given:

  • The sample size (n) = 55 patients
  • Let's assume that the mean (x) = 32 (i.e. 58.2%) of the patients

The sample proportion \mathbf{\hat p} can be computed by using the expression:

\mathbf{\hat p = \dfrac{x}{n}}

\mathbf{\hat p = \dfrac{32}{55}}

\mathbf{\hat p =0.582}

If the percentage of the probability of all patients in the emergency room = 0.75

The probability that the proportion of patients who wait less than 30 minutes is 0.582 or less can be computed as:

\mathbf{( \hat P \leq 0.582) = P \Big( \dfrac{\hat p - p}{\sqrt{\dfrac{p(1-p)}{n}}} \leq \dfrac{0.582 - 0.75}{\sqrt{\dfrac{0.75(1-0.75)}{55}}} \Big )}

\mathbf{( \hat P \leq 0.582 )= P \Big( Z \leq \dfrac{-0.168}{\sqrt{0.003409}} \Big )}

\mathbf{( \hat P \leq 0.582) = P \Big( Z \leq -2.88 \Big )}

From the Z distribution table:

\mathbf{( \hat P \leq 0.582) = 0.00198}

\mathbf{( \hat P \leq 0.582) \simeq 0.0020}

Learn more about probability here:

brainly.com/question/24756209

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