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The sample must have a high probability of representing the population.

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Q: When using data from population genetics research the sample must be?
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Purpose of random assignment and using a representative sample in research?

To get a more accurate estimate of the entire population.


When using the distribution of sample mean to estimate the population mean what is the benefit of using larger sample sizes?

The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.


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What is the advantage of inferential statistic?

Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized.


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.


Does inferential statistics involve using a suitable population to draw a conclusion from a sample drawn from that population?

It is strangely worded like that, but the answer is yes.


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What is a sample of a population that has been selected using a pattern?

A sample of a population that has been selected using a pattern is when a researcher selects every 10th person from a list or sampling frame. For example, if a researcher wants to study the attitudes of employees in a large company, they may select every 10th employee from the company directory. This method ensures a systematic pattern in selecting the sample.