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What is a representative sample important in a statistical study?
Wiki User
∙ 10y ago
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.
Wiki User
∙ 10y ago
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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 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
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 is a voluntary response sample not suitable for a statistical study?
Voluntary response sample is not generally suitable for statistical study because its results are not likely to be the representative of the entire population under study.Such results could be biased as those who made effort to respond voluntary have strong feelings or opinions whether favorable or unfavorable regarding the subject of consideration.
What is the difference between a panel study and a cohort study?
A panel study uses a representative sample, whereas a cohort study uses a sample with predetermined common characteristics.
What is sample survey?
A statistical study of a sample of individuals designed to collect information on specific subjects, such as buying habits or voting behavior.
When data are collected in a statistical study for only a portion or subset of all elements of interest?
sample
Why mapeh is important to study?
its because connected to our statistical skill
Why is it important to study MAPEH?
its because connected to our statistical skill
What is the purpose of randomization in epidemiology studies?
ensure taht the sample for the study is representative of the target population
Why is it important to study mapeh subject?
its because connected to our statistical skill
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 are the main problem in data gathering?
I would imagine that it is getting a representative sample number and a fraction of the population that does not have bias to the study in question
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).
