Name
... year old women, we need to estimate X . So we choose an SRS of young women (18-24) and use the sample mean ___ to estimate the unknown population mean X . Since x is COMPUTED FROM THE SAMPLE it is called a _______________. X is a number that describes the POPULATION, so it is called a ________ ...
... year old women, we need to estimate X . So we choose an SRS of young women (18-24) and use the sample mean ___ to estimate the unknown population mean X . Since x is COMPUTED FROM THE SAMPLE it is called a _______________. X is a number that describes the POPULATION, so it is called a ________ ...
EXAM #2, May 1, 2014
... record the weights of the chicks that have hatched. Oswald, the last chick to hatch, appears a bit thin relative to the other chicks. After weighing the chicks yesterday Ms. Spandanoranotucci recorded a z-score next to each chick’s weight. For Oswald the z-score recorded was 0.01. Should Ms. S. and ...
... record the weights of the chicks that have hatched. Oswald, the last chick to hatch, appears a bit thin relative to the other chicks. After weighing the chicks yesterday Ms. Spandanoranotucci recorded a z-score next to each chick’s weight. For Oswald the z-score recorded was 0.01. Should Ms. S. and ...
printable version
... This should be compared with that obtained earlier by estimation based on the sample mean (44,147). However, no allowance is made here for the uncertainty involved in the exponential ...
... This should be compared with that obtained earlier by estimation based on the sample mean (44,147). However, no allowance is made here for the uncertainty involved in the exponential ...
Estimation
... Interval Estimation • Interval Estimation: an inferential statistical procedure used to estimate population parameters from sample data through the building of confidence intervals • Confidence Intervals: a range of values computed from sample data that has a known probability of capturing some pop ...
... Interval Estimation • Interval Estimation: an inferential statistical procedure used to estimate population parameters from sample data through the building of confidence intervals • Confidence Intervals: a range of values computed from sample data that has a known probability of capturing some pop ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.