Answer:
It used statistical evidence.
It presents a clear claim as a thesis.
It supports the claim with reasons.
It supports reasons with evidence.
It appeals to logos, pathos and ethos.
While it does rely on some emotion, it also presents facts.
Answer:
The spider's web is in the corner
Explanation:
an apostrophe is possessive. The spider possesses the web, therefore it's the spider's web.
<u>Answer:</u>
<em>The EPA and NASA were formed as an </em><u><em>executive agency
</em></u>
<u><em></em></u>
<u>Explanation:</u>
NASA was shaped in 1958 when Congress passed the National Aeronautics Act while EPA describes the Protection of Environmental Agency. President Richard Nixon formed it in 1970 through an official request.
Both the EPA and NASA were framed as official organizations under the influence and backing of the U.S. Government. This implies they work under the offices in mid-1970, because of increased open worries about breaking down city air, common regions covered with garbage, and urban water supplies tainted with risky debasements.
Answer:
3$
Explanation:
For the first vendor, the pickles cost $5 per quart and since there are 4 quarts in a gallon, 5$ x 4 quarts= $20 per gallon.
For the second vendor, the pickles cost 19$ per gallon.
You want to buy 3 gallons of pickles. If you were to buy from the first vendor, then it would be 20$ x 3 gallons= 60$
The second vendor would be 19$ x 3 gallons= 57$
60$ - 57$= 3$ which is what you save in total
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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