Abstract
In our first chapter we stated that statistics is the study of how to collect, organize, analyze, and interpret numerical data. In statistical inference we draw a sample of observations from a larger population. Estimation is the use of sample data in order to derive conclusions about the population. If we denote the Sample parameters as \( \overline{x},\;{S}^2 \) then the Population Parameters are μ, σ2 for the mean and variance.
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© 2016 Springer International Publishing Switzerland
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Özdemir, D. (2016). Estimation and Confidence Intervals. In: Applied Statistics for Economics and Business. Springer, Cham. https://doi.org/10.1007/978-3-319-26497-4_9
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DOI: https://doi.org/10.1007/978-3-319-26497-4_9
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