here - BCIT Commons
... The only difficulty here is that the constant t/2, appearing on the right-hand side not only depends on , but also on the value of n, through . As a result, we cannot solve for n as cleanly as was possible in the large sample case where the probability factor, z/2, did not depend on n. The reco ...
... The only difficulty here is that the constant t/2, appearing on the right-hand side not only depends on , but also on the value of n, through . As a result, we cannot solve for n as cleanly as was possible in the large sample case where the probability factor, z/2, did not depend on n. The reco ...
Confidence intervals Math 218, Mathematical Statistics
... D Joyce, Spring 2016 Introduction to confidence intervals. Although estimating a parameter θ by a particular number θ̂ may be the simplest kind of statistical inference, that often is not very satisfactory. Some indication of the spread of the likely values of θ explains a lot more. One way that’s d ...
... D Joyce, Spring 2016 Introduction to confidence intervals. Although estimating a parameter θ by a particular number θ̂ may be the simplest kind of statistical inference, that often is not very satisfactory. Some indication of the spread of the likely values of θ explains a lot more. One way that’s d ...
Sampling - math.fme.vutbr.cz
... People sometimes use statistics to describe the results of an experiment or an investigation. This process is referred to as data analysis or descriptive statistics. Statistics is also used in another way: if the entire population of interest is not accessible for some reason, often only a portion o ...
... People sometimes use statistics to describe the results of an experiment or an investigation. This process is referred to as data analysis or descriptive statistics. Statistics is also used in another way: if the entire population of interest is not accessible for some reason, often only a portion o ...
FORMULA SHEET NUMBER ONE (consists of 2 pages)
... This is the smaller of the two standard deviations provided by the TI 83/84. ...
... This is the smaller of the two standard deviations provided by the TI 83/84. ...
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.