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What are the elements that affect determination in a sample size?
Wiki User
∙ 16y ago
Margin of error, level of significance and level of power are all elements that will affect the determination of sample size.
Wiki User
∙ 16y ago
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Why do smaller populations need larger sample sizes?
They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.
What is the sample size for a population of 60010?
well a sample size can be any size depending on the requirements. A sample size could be 10 people of that entire population or it could be 1000 people.
How do you determine an adequate sample size?
A sample size is needed whenever you conduct an experiment. How you determine an adequate sample size depends on the scope of what you're testing, such as medications.
What does the Central Limit Theorem say about the traditional sample size that separates a large sample size from a small sample size?
The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger — no matter what the shape of the population distribution. This fact holds especially true for sample sizes over 30.
Does the accuracy of a sample in representing the characteristics of the population from which it was drawn always increase with the size of the sample?
yes the size is 4444
Does the size of a sample change its density determination?
no
What is absolute sample size?
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
How does sample size affect the experiment?
The sample size determines the accuracy of results in an experiment
Does sample size affect survey result?
a larger the sample size will reduce the size of the confidence interval
What are the four steps to design a good sample?
The FOUR steps to follow in order to design a good sample are: I. Determination of the data to be collected or described II. Determination of the population to be sampled III. Choosing the type of sample IV. Deciding on the sample size
How does sample size affect the margin of error?
The larger the sample size, the smaller the margin of error.
How does sample size affect the validity of an experiment?
The sample size has no effect on the validity of an experiment: instead, it is the experimental procedure and integrity of the experimenters.The sample size can affect conclusions that may be drawn from an experiment. The larger the sample is, the more reliable these conclusions are.
How does increasing the sample size affect the sample error of the mean?
It should reduce the sample error.
What is the definition of sample size in math?
The sample size is the number of elements, out of a population, for which some data are measured in order to make assessments about the population.
Why do smaller populations need larger sample sizes?
They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.
What happens to the crtitical value for a chi square test if the size of the sample is increased?
The size of the sample should not affect the critical value.
How might choosing a small sample size affect a scientific investigation?
Statistically the results will not be scientifically valid if the sample size is too small.
