A visible streak of light which shows the path of rocky object which has entered Earth’s atmosphere is?

1 answer:

7 0

The answer is a meteor.
Meteors make flashing light when they enter the Earth's atmosphere. This is actually meteors on fire, because our atmosphere makes them burn when they come in contact, and crashes them under the pressure. This makes up for a beautiful sight on the night sky, and people often refer to the burning meteors as ''falling stars'', and make wishes as well.

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1. Your friend Dave says: “How can you stand to study the history of psychology? Every single one of those theories is basically

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Answer:

The correct answer is Introspection

Explanation:

From the given question, from the history of psychology, we can asses Dave's claim using what is called Introspection

Introspection refers to the training of participants to report elements of specific sensory experiences.

Introspection is also the scrutiny of one's personal feelings and conscious thoughts. In psychology, the process of introspection deals with exclusively on observation of one's mental state, while in the context of spirituality it may be called the examination of one's soul.

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3 years ago

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:

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