Distribuciones en el muestreo. Conceptos generales | | UPV

Title: Sampling Distributions. General Concepts Description: General concepts in the study of sampling distributions are defined. Cabrera García, S. (2011). Sampling Distributions. General Concepts. http://hdl.handle.net/10251/12927 Automatic description: This video introduces statistical inference, first highlighting general concepts such as distributions and sampling. A practical example is used regarding an orange bag filling machine, whose objective is to achieve an average weight of 2,000 grams per bag. Despite variations in weight due to factors such as fruit size and weighing accuracy, the population mean of the bags is expected to be 2,000 grams. To verify whether the machine is configured correctly, a sample of fifteen bags is randomly selected and their weight is measured to calculate the sample mean and variance. The collected data show a sample mean of 1,993.6 grams, but a difference from the population mean does not necessarily imply a poor machine fit, as variability can be a product of random sampling. The video explains that both the sample mean and variance are random variables with their own distributions that depend on the original population. The term "statistic" is introduced to refer to any function of sample values ​​that also follows a distribution related to the original population and sample size. This knowledge is essential for making valid statistical inferences about population parameters from information obtained from samples. The final summary covers an understanding of the sample mean and variance as random variables and introduces the concept of statistics in the context of statistical inference. Author: Cabrera García Suitberto Polytechnic University of Valencia (UPV): https://www.upv.es More videos at:    / valenciaupv   Access our MOOCs: https://upvx.es #Statistics #Inference #Distributions #Sampling #