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Suppose you wanted to know the average income in Canada but for your own convenience you decided to ask for income information from people who lived in cities and towns with airports so that you could fly to your destinations. The people in places like these often have higher incomes and would not form a representative sample of the people of Canada. In order to obtain a good estimate of average income you would need to find a way of ensuring that people of all income levels would have known probabilities of appearing in your sample.
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What are the preliminary steps in statistical study?
The preliminary step is to research the issue and form your hypothesis. Then, you need to find your sample group.
What is a sample study?
sample is the population we make our study about them.
Immportance of representative sample in statistical inference?
It is very important. Incorrect conclusions can be reached when the sample does not represent the underlying population. Experimental studies frequently go to great lengths to insure an unbiased sample. In observational studies, the statistician may identify factors which could make his sample not representative of the population. I will give you a real example. The US Fish and Wildlife Division conducted a study of the area that Florida cougars roam the Everglades. They tagged and tracked the movements by GPS. By using only daytime data in their computer models, a time when the cougars were more likely to sleep, they underestimated the distance the cougars could roam. You may be able to find many examples of biasing the data, either at the collection stage or later culling out certain data (as was done in the cougar example).
Why are control groups used in statistical studies?
Because its the group for which the idependent variable is help constand in a statistical study.
Why was it important to Mendel to study such a large sample of pea plants to determine the probability of inheritance?
Answer D- A higher sample size gives more accurate results- APEX LEARNING
