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Why do you use a large sample size when conducting an experiment?
Better the results
Why is having a larger sample size be a better idea than having a small sample size when doing a experiment?
1. Better chance of uniform sample. 2. Material for confirmations if needed.
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.
What is a experimental sample?
An experimental sample is an experiment that is just a sample of what you are looking for.
How do a control sample and an experimental sample differ from each other?
A control sample is the experiment under regular conditions. An experimental sample is the experiment in which different variables are changed.
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 the sample size affect an experiment?
Sample size greatly reduces any error to randomness in a given sample. Each experiment requires a proper size of a sample. The better it is fitted to the experiment, the better is the result. For example, if you are trying to find out the study habits of students at your school of 1000 kids, a sample size of 50 would be sufficient. However, if you are trying to find out the study habits of students across the US, a sample size of at least several hundred-thousand would be required, preferably several million.
What is the benefit of using a large sample size in an experiment?
Statistically the larger the sample size the more significant the results of the experiment are. Chance variation is ruled out.
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.
Why would having a larger sample size be a better idea than having a samll sample size when doing an experiment?
less bias and error occur when sample size is larger
How does sample size affect the margin of error?
The larger the sample size, the smaller the margin of error.
What happens when you increase the sample size in an experiment?
Estimates based on the sample should become more accurate.
Why do you use a large sample size when conducting an experiment?
Better the results
What are the elements that affect determination in a sample size?
Margin of error, level of significance and level of power are all elements that will affect the determination of sample size.
How does increasing the sample size affect the sample error of the mean?
It should reduce the sample error.
Why is having a larger sample size be a better idea than having a small sample size when doing a experiment?
1. Better chance of uniform sample. 2. Material for confirmations if needed.
Which is more effective in minimizing instrument error in an experiment?
having a large sample size
