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# Discussion - Essay Example

Summary
It is a well established fact that statisticians cannot estimate the population parameters accurately (Clopper and Peasrson 404), the only method that could do so is census, which refers to the analysis of each sample unit in the population, but it is often very expensive and…

## Extract of sample "Discussion"

Implementation of Confidence Intervals for Population mean and proportion It is a well established fact that statisticians cannot estimate the population parameters accurately (Clopper and Peasrson 404), the only method that could do so is census, which refers to the analysis of each sample unit in the population, but it is often very expensive and unreliable therefore not implemented, instead of this above mentioned technique, the more accommodating one is deployed known as sampling, which could be referred as selecting a few units from the population for examination, based on their behavior and response, scientists develop generalized statements about the characteristics of the population.
As humans cannot know everything, so they rely on educated guesses, that could be referred as probability, via deploying confidence interval for mean and proportion, statistical community attempts to fabricate a bracket of numeric values, that might contain the desired parameter with usually 99%,98% and 95% probability.
The examples confidence interval for mean could be, if someone wants to estimate the average population of a forest in different time periods or a doctor interested in quantifying the average number of people dying from a particular disease. The example of proportion could be taken as the number of voters, opting for a peculiar candidate in the elections.
Works Cited
Clopper, C and E Peasrson. "The use of Confidence or Fiducial Limits illustrated in the case of the Binomial." Biometrika (1934): 404-413. Read More
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