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How large would your sample have to be for appropriate estimation of the whole population?
Wiki User
∙ 11y 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
∙ 11y 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.
Scientists use many methods to determine the size of a population Which method is best for extremely large populations?
For extremely large populations, the best method to determine size is often statistical sampling. This involves taking a representative sample of the population and using statistical techniques to estimate the full population size. This method is efficient and cost-effective for large populations.
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
What is the term for a small group that accurately reflects a large population?
The term is "representative sample." It is a subset of a population that accurately reflects the characteristics of the whole population it is meant to represent.
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
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.
A sample of a population should be large enough to?
span the full spectrum of a population's genetic variation.-apexI got you guysssss.feel free to hmu on snap king.youssof ( need knew friends ;--;)
The law of large numbers?
The law of large numbers states that as the number of observations in a sample increases, the sample mean will tend to approach the population mean. In other words, the larger the sample size, the more accurate the estimate of the population parameter. This law forms the basis for statistical inference and hypothesis testing.
