Answer:
No
Explanation:
A simile is a figure of speech that is used to say that one thing is "like" or "as" another thing (e.g., is as cool as a cucumber, is as brave as a lion, is crazy like a fox ).
Answer:
Arnie has just one problem; he doesn't quite understand his purpose as a was fascinated as he watched the customers stream into the bakery. One by one, doughnuts were chosen, placed in paper bags, and whisked away with their new owners.
Explanation:
ty for points heres a meme
Answer:
Their language, now called Old English, originated as a group of Anglo-Frisian dialects which were spoken, at least by the settlers, in England and southern and eastern Scotland in the early Middle Ages, displacing the Celtic languages (and, possibly, British Latin) that had previously been dominant.
Explanation:
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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