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sample size refers to the collection of data by only a selected size of te population through the process of sample surveys and sampling methods used in collecting data.

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Q: In basic statistics what is sample size and effective sample size?
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Related questions

What is n in statistics?

n is the sample size.


What is the symbol for sample size in probability and statistics?

n


The constant rate used as a gauge in calculating the valid sample size?

statistics


What is the constant rate used as a gauge in calculating the valid sample size?

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Why it is informative to include data from a number of experiments?

It increases the effective sample size.


What does n-1 mean in statistics?

n-1 means take the sample size and subtract 1 from it.


Explain how to standardize a value in statistics?

The term effect size can refer to the value of a statistic calculated from a sample of data.


Which is more effective in minimizing instrument error in an experiment?

having a large sample size


What happens to the sample size if you increase the standard deviation?

The statistics of the population aren't supposed to depend on the sample size. If they do, that just means that at least one of the samples doesn't accurately represent the population. Maybe both.


How does Mugenda and Mugenda define sample size?

According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.


In statistics what is the group of individuals used to represent the population called?

The group of individuals used to represent a population is called the sample. It should have the same statistics as the population, though be of a smaller size.


What accurately describe the effect of increasing the sample size?

A sample size is a group which is sampled in surveys, statistics, and in the scientific method. Increasing a sample size might decrease or increase the margin of error, depending on what was being measured. For instance, a sample of 100 women who were pregnant, might increase or decrease the the margin of error for women who showed morning sickness while pregnant.