Stats: Modeling the World
... A – check your assumptions/conditions We must check some conditions to make sure the Normal model applies before we use it. - Randomization/Representative sample - Less than 10% of the population - At least 10 successes and 10 failures ...
... A – check your assumptions/conditions We must check some conditions to make sure the Normal model applies before we use it. - Randomization/Representative sample - Less than 10% of the population - At least 10 successes and 10 failures ...
Chapter7 Inferences based on a single sample: Estimation with Confidence Intervals
... calculate a single number that can be used as an estimate of the population parameter. (the value of a sample statistic is used to estimate the parameter.) Example1: To estimate the average math test score for all 5th graders in an elementary school, a sample of 25 students yields the average math s ...
... calculate a single number that can be used as an estimate of the population parameter. (the value of a sample statistic is used to estimate the parameter.) Example1: To estimate the average math test score for all 5th graders in an elementary school, a sample of 25 students yields the average math s ...
Syllabus for ELEMENTS OF STATISTICS
... The main objective of the course is to give a sound and self-contained (in the sense that the necessary probability theory is included) description of classical or mainstream statistical theory and its applications. The students should learn to carry out a simple analysis of data (to find mean, medi ...
... The main objective of the course is to give a sound and self-contained (in the sense that the necessary probability theory is included) description of classical or mainstream statistical theory and its applications. The students should learn to carry out a simple analysis of data (to find mean, medi ...
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.