Section 1
Estimation
Book
Version 1
By Boundless
By Boundless
Boundless Statistics
Statistics
by Boundless
5 concepts
![Thumbnail](../../../../../../figures.boundless-cdn.com/18275/square/samplebiascoefficient.jpg)
Estimation
Estimating population parameters from sample parameters is one of the major applications of inferential statistics.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18311/square/400px-marginoferror95.jpg)
Estimates and Sample Size
Here, we present how to calculate the minimum sample size needed to estimate a population mean (
![Thumbnail](../../../../../../figures.boundless-cdn.com/32441/square/qhtmyeg8si9ffw3u2fmg.jpg)
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.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18320/raw/student-t-pdf.jpg)
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.
![Thumbnail](../../../../../../figures.boundless-cdn.com/18319/square/ttable.jpeg)
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.