Statistics
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Boundless Statistics
Estimation and Hypothesis Testing
Statistics Textbooks Boundless Statistics Estimation and Hypothesis Testing
Statistics Textbooks Boundless Statistics
Statistics Textbooks
Statistics

Section 1

Estimation

Book Version 1
By Boundless
Boundless Statistics
Statistics
by Boundless
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5 concepts
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Estimation

Estimating population parameters from sample parameters is one of the major applications of inferential statistics.

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Estimates and Sample Size

Here, we present how to calculate the minimum sample size needed to estimate a population mean ($\mu$) and population proportion ($p$).

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Estimating the Target Parameter: Point Estimation

Point estimation involves the use of sample data to calculate a single value which serves as the "best estimate" of an unknown population parameter.

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Estimating the Target Parameter: Interval Estimation

Interval estimation is the use of sample data to calculate an interval of possible (or probable) values of an unknown population parameter.

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Estimating a Population Proportion

In order to estimate a population proportion of some attribute, it is helpful to rely on the proportions observed within a sample of the population.

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