A) a lead-in sentence
Most essay formats are all the same. The introduction should introduce the topic of the essay by leading in the audience, giving some background information and then stating the main purpose of the essay. The thesis statement should not start any essay. The audience should also not be acknowledged. Some essays can start with a question; however, it is not always the best choice for a reflective essay.
Answer:
The correct answer is actually the first option: When an argument is over, how many weighty reasons does a man recollect which his heat and violence made him utterly forget?
Explanation:
We are looking for textual evidence to support the conclusion that anger clouds a person't judgment. The only option that does so is the first one. To cloud one's judgment is an expression that refers to something's capacity to prevent someone from thinking clearly. For instance, getting drunk is often associated with clouding someone's judgment, since drunk people are often unable to think properly, and end up making wrong choices.
The first option supports the claim that anger prevents people from thinking clearly. After anger has subsided, when we are able to think calmly and reasonably again, we remember reasons, facts, information that were impossible to recollect while being angry. An angry person, thus, is only able to focus on the cause of their anger, but cannot see the bigger picture.
Based on my interpretation of this website, I believe it's the astronomers. :)
Answer:
Sample size refers to the number of observations that will be included in a statistical sample.
A sample is a collection of objects, individuals or phenomena selected from a statistical population usually by a given procedure.
The sample size affects the following:
- Confidence and Margin of Error - The more a population is varied, the higher the unreliability of the calculations or estimates. In the same vein, as the sample size increases, we have more information. The more information we have, the less we error or uncertainty we have.
- Power and Effect Size - Upping the sample size enables one to detect variances. Put differently, on the balance of probability, an average obtained on a larger sample size will exceed the average real than average collected on a smaller sample size.
- Size Versus Resources - An overtly large sample will lead to a waste of resources that are already scarce and (where human subjects are involved) could expose them unecessarily to related risks.
- A study should only be carried out only if, on the balance of probability, there is a fair chance that the study will produce useful information.
- Variableness - Population Sampling makes room for variableness. Variableness ensures that every member of the population has a probability of being represented in the sample.
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