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The bottom line is it would be wasteful and foolish to use the entire population when a sample, drawn scientifically, provides accuracy in representing your population of interest. Assessing all individuals may be impossible, impractical, expensive or even inaccurate.

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Q: Why do we sample and estimate populations?
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Related questions

How do scientist sample or estimate populations of plants or animals in different habitats?

they take animals into breeding pens and take a number through 100 and guess


What happens if you estimate population standard deviation with the sample standard deviation?

Not a lot. After all, the sample sd is an estimate for the population sd.


A sample average can be used to estimate a population average precision if the sample is?

large


Is the sample mean a point estimate of the population mean?

A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.


Definition of independent sample.?

two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other. eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other


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.


Does a random largely selected sample always give a better estimate of the population than a randomly selected sample?

A larger random sample will always give a better estimate of a population parameter than a smaller random sample.


What is the definition of dependent sample?

two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other. eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other Rate This Answer


Using a pooled sample estimator for sigma squared assumes the two populations have what?

equal variances


Difference between Population From a sample?

population is the number of citizens living in a defined geographical area. Sample is a number taken from the population being the sample to research for a topic about the populations' behavior or habit, etc.


When can you estimate a population's size when counting individuals in a sample of the population?

You can estimate a population's size when counting individuals if the density in a sample is greater than the population density.


What is the the relationship between population and sample parameter and statistic?

The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.