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3 years ago

It has been objected also against a bill of rights, that, by enumerating particular exceptions to the grant of power, it would

Advanced Placement (AP)

2 answers:

bearhunter [10]3 years ago

7 0

Answer: Limited the rights of Americans

Explanation:

The Bill of Rights was the compromise that eventually got the Anti-Federalists to agree to ratify the United States Constitution because they had been worried about the Federal Government being too powerful.

We can see from here however, that there was opposition to the Bill of Rights.

The opponents argued that if particular rights were outlined specifically, the rights that were not outlined in like manner may be abused by the government which in effect would lead to the Bill of Rights limiting the rights of the very people it is meant to empower.

James Madison however, believed that the risk of this could be mitigated.

sveticcg [70]3 years ago

5 0

Answer:

its the ninth amendment

Explanation:

please trust me ouo

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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:

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