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andrew-mc [135]
3 years ago
11

Helpppp guys plz anyone that does it will get payed after ❤️

Advanced Placement (AP)
2 answers:
Snezhnost [94]3 years ago
5 0

Answer:

sent answer to yhu in inbox bye

Explanation:

Alchen [17]3 years ago
4 0

Answer:

the awner is

Explanation:

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Compare and contrast what impact does genetics have on happiness?
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Answer with Explanation:

<em>Genetics' influence on the happiness</em> of a person has long been studied. Some people say that the genes of a person affects the person's mood. For example, "5-HTTLPR" is a gene that is regarded to be connected to depression. This is why it is called<u> "the depression gene."</u> It is also associated with sleep disorders like "insomnia." When someone has trouble sleeping, it disrupts his way of life thereby affecting his happiness.

On the contrary, the genes exhibit themselves according to external environments. This is also one reason why a person's happiness may also be determined by his<em> success in life, material possession, relationships with people and so on.</em> So, a person's situation in life partly influences his happiness.

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What’s is the difference 58-9
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Explanation:

58-9

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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
Greeley [361]

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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2 years ago
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