Answer:
Sample Answer:
Your answer may include the following points:
descriptions of what you saw, smelled, heard, and felt as one of the soldiers
your reaction to the lieutenant’s sharp cry of pain
events that followed the lieutenant’s injury
the scene at the field hospital and its effect on you
Here’s an example:
I was about to take my regiment’s share of coffee, when suddenly I heard a sharp cry of pain. I looked up to see the lieutenant wincing in pain, holding his bloodied arm. He was hit by a sniper. I was stunned, but in a moment I regained my composure and rushed forward to help. He wouldn’t let us help him, so I followed him to the field hospital.
As the doctor examined him, I was dead sure that amputation was the only option the doctor had to save the lieutenant. That is how it is in the line of fire. A freak bullet takes your life or limb. I am a soldier, yet the tragedy and absurdity of war struck me as sharply as a bullet as I walked through the hospital tents filled with amputees, their eyes staring into their hopeless future.
Explanation:
PLATO answer
The correct answer for the question that is being presented above is this one: "A. My knee did not bend and the leg dropped straight from the knee to the ankle without a calf, and the machine was to bend the knee and make it move as riding a tricycle."
Here are the following sentences:
A. My knee did not bend and the leg dropped straight from the knee to the ankle without a calf, and the machine was to bend the knee and make it move as riding a tricycle.
B. But it did not bend yet, and instead the machine lurched when it came to the bending part.
C. The doctor said: "That will all pass. You are a fortunate young man. You will play football again like a champion."
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.
Cheers!
The position of a topic sentence often shifts, according to the author and writing style. One should never place the topic sentence in the middle of the paragraph. It will just give your reader confusion what really the paragraph is talking about. You can place it either in the beginning or at the end of the paragraph.