AP Statistics Practice Examination 3
... (A) constructing a confidence interval based on a random sample of size 29. (B) constructing a confidence interval based on two independent random samples of sizes 13 and 17. (C) using a t-statistic based on a random sample of size 30. using a t-statictic based on a random sample of size 31 (E) we d ...
... (A) constructing a confidence interval based on a random sample of size 29. (B) constructing a confidence interval based on two independent random samples of sizes 13 and 17. (C) using a t-statistic based on a random sample of size 30. using a t-statictic based on a random sample of size 31 (E) we d ...
Z 1- /2
... unbiased low variability i.e. if the survey was repeated should get 'similar' answer ...
... unbiased low variability i.e. if the survey was repeated should get 'similar' answer ...
251y0242
... III. Do at least 4 of the following 6 Problems (at least 12 each) (or do sections adding to at least 48 points Anything extra you do helps, and grades wrap around) . Show your work! Please indicate clearly what sections of the problem you are answering! If you are following a rule like E ax aEx ...
... III. Do at least 4 of the following 6 Problems (at least 12 each) (or do sections adding to at least 48 points Anything extra you do helps, and grades wrap around) . Show your work! Please indicate clearly what sections of the problem you are answering! If you are following a rule like E ax aEx ...
Presentation
... • Determine the sample size necessary to construct a confidence interval for a fixed margin of error • Compare and contrast the t distribution and the Normal distribution • List the conditions that must be present to construct a confidence interval for a population mean or a population proportion • ...
... • Determine the sample size necessary to construct a confidence interval for a fixed margin of error • Compare and contrast the t distribution and the Normal distribution • List the conditions that must be present to construct a confidence interval for a population mean or a population proportion • ...
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.