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How large would your sample have to be for appropriate estimation of the whole population?
Wiki User
∙ 10y ago
First you have chose an estimator for what you want to know about the population. In general the level of variability in the result that any estimator provides will depend on the variability in the population. Therefore, the greater the variability in the population the larger your sample size must be.
You will also need to decide how much precision is required in your estimate. The more precision you require the greater your sample size will have to be.
Wiki User
∙ 10y ago
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What does it means if the standard deviation is large?
that you have a large variance in the population and/or your sample size is too small
What are the advantages and disadvantages of large samples?
A large trial is necessary to provide good sample that is representative of the population
Why use sample instead of population?
When performing an experiment or gathering data for statistics, it would be very difficult to gather information for every member of the group's population. Instead, one can gather information from a sample large enough to be representative of the population.
What sample size is required from a very large population to estimate a population proportion within?
The answer depends on how rare or common the selected trait is. For something that is very rare, you will need a much larger sample to get a reasonable estimate of proportion.
What are some assumptions that must be made in order to use a sample to describe a population?
Some assumptions that must be made in order to use a sample to describe a population include: 1) the sample is representative of the population, meaning that it accurately reflects the characteristics of the population as a whole; 2) the sample is randomly selected, ensuring that every member of the population has an equal chance of being included in the sample; and 3) the sample size is large enough to provide accurate and reliable results.
Disadvantages of a large sample size confidence Interval in statistices?
A disadvantage to a large sample size can skew the numbers. It is better to have sample sizes that are appropriate based on the data.
A sample average can be used to estimate a population average precision if the sample is?
large
Explain the differences between a sample and a population?
A sample consists of a small portion of data when a population is taken from a large amount.
What two features must a sample have if its to accurately represent a population?
The sample must be large and random.
What does it means if the standard deviation is large?
that you have a large variance in the population and/or your sample size is too small
How large should the sample be to be large enough?
Span the full spectrum of a population's genetic variation. <apex> Reflects the genetic variation of a population...
What are the advantages and disadvantages of large samples?
A large trial is necessary to provide good sample that is representative of the population
Scientists use many methods to determine the size of a population Which method is best for extremely large populations?
Actually census' are the most accurate estimation (including the estimation of homeless, illegals, etc.)
What is the term for a small group that accurately reflects a large population?
Representative Sample.
Why might researchers study just a sample of a large population rather than the whole population?
Because the whole population might be too large to sample. A good example is the population of the world. At nearly 7 billion people, it would be unrealistic to sample each person to determine some factor that you are looking at. Generally, we sample a subset of the population, taking into account differences (or errors) that might result, in this case, regional and cultural, in order to estimate the behavior of the larger population.
When researchers survey part of a large group what is the name of the group that they survey?
A sample! And the large group is called the population.
When the sample size is large valid confidence intervals can be established for the population mean irrespective of the shape of the underlying distribution?
Yes, but that begs the question: how large should the sample size be?
