Introductory Statistics

Estimation

Author(s): Alandra Kahl * .

Pp: 116-150 (35)

DOI: 10.2174/9789815123135123010008

* (Excluding Mailing and Handling)

Abstract

It is critically important for researchers to select the correct sample size to determine the population means. By understanding the difference between small and large sample sets, researchers can then construct intervals of confidence that assist in determining the population means. Confidence intervals are the margins of the error present within the dataset and are included to show the confidence of the researcher in the integrity of their dataset. Common confidence intervals are 90%, 95%, and 99%. The Z confidence level is calculated to show where the mean is likely to fall, and the T confidence level is used only when the sample size is smaller than 30 samples.


Keywords: Interval, Population mean, Sample estimation.

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