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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
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.
When data are collected in a statistical study for only a portion or subset of all elements of interest?
sample
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.
Why is it important for a sample must be homogeneous?
It is important for a sample to be homogeneous to ensure that the results obtained from the analysis are representative of the entire population. Homogeneous samples reduce the risk of bias and help to improve the validity and reliability of the study findings. This ensures that any conclusions drawn from the sample are more likely to be accurate and applicable to the broader population.
What is sample survey?
A sample survey is a research method where a subset of a larger population is chosen to gather information or insights about the entire population. This process involves selecting a representative group to minimize bias and ensure the results can be generalized to the larger population. Sample surveys are commonly used in market research, social sciences, and public opinion polling.
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
Is the subset of the population chosen by the investigator for a study?
The subset of the population chosen by the investigator for a study is known as the sample. Sampling involves selecting a smaller group of individuals from a larger population to make inferences or generalizations about the broader population. The goal is for the sample to be representative of the population so that findings from the study can be applied more broadly.
What does N mean in science?
Capital N in science represents force measured in Newtons.
What is a sample study?
sample is the population we make our study about them.
What is the difference between population and statistical population?
Population refers to all the individuals or items of interest in a particular group. Statistical population refers to the theoretical concept of all possible individuals or items that could be included in a study, from which a sample is actually drawn. Statistical population is typically larger than the actual population being studied.
