C: suffering often builds character
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Answer:
If an authority figure ordered you to deliver a 400-volt electrical shock to another person, would you follow orders? Most people would answer with an adamant "no." However, the Milgram obedience experiment aimed to prove otherwise.
During the 1960s, Yale University psychologist Stanley Milgram conducted a series of obedience experiments that led to some surprising results. These results offer a compelling and disturbing look at the power of authority and obedience.
Beowulf is a very old English story from an anonymous writer. It tells the story of the heroic Beowulf who is very strong and manages to defeat the monster Grendel, the mother of the monster Grendel and later a dragon. The Danes are happy with the result and give Beowulf lots of gifts.
Question: Based on the passage, the reader can infer that
Answer: Beowulf is planning to continue being a warrior.
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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