0
What else can I help you with?
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 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
How large would your sample have to be for appropriate estimation of the whole population?
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.
What two features must a sample have it if is to accurately represent a population?
A sample must be both random and sufficiently large to accurately represent a population. Randomness ensures that every individual in the population has an equal chance of being selected, minimizing bias. A sufficiently large sample size helps to capture the diversity and variability within the population, leading to more reliable and generalizable results.
What are the disadvantages for random sampling?
its time consuming and expensive if its a large sample you need or a big target population
A sample average can be used to estimate a population average precision if the sample is?
large
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 ;--;)
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 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 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 difference of population sample?
The population consists of every possible unit where a sample is a subset of the population. Note that population and sample need not refer to persons. For example, if studying biodiversity, the population could consist of plots of land.
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.
