SELF TEST SEVEN: INTERVAL ESTIMATION
... hamsters on this diet, constructed using the t distribution, will have endpoints _________ and ...
... hamsters on this diet, constructed using the t distribution, will have endpoints _________ and ...
Confidence intervals: The basics BPS chapter 14 © 2006 W.H. Freeman and Company
... Estimating with confidence Although the sample mean, x, is a unique number for any particular sample, if you pick a different sample, you will probably get a different sample mean. In fact, you could get many different values for the sample mean, and virtually none of them would actually equal the ...
... Estimating with confidence Although the sample mean, x, is a unique number for any particular sample, if you pick a different sample, you will probably get a different sample mean. In fact, you could get many different values for the sample mean, and virtually none of them would actually equal the ...
Solution
... (d) Repeat the preceding but rather than using CI.sim write a new function called CI.sim2. This new function should be identical to CI.sim except that, when calling my.CI, it sets pop.sd = 1/2 rather than 1. How do your results change? Try to provide some intuition for any differences you find. ...
... (d) Repeat the preceding but rather than using CI.sim write a new function called CI.sim2. This new function should be identical to CI.sim except that, when calling my.CI, it sets pop.sd = 1/2 rather than 1. How do your results change? Try to provide some intuition for any differences you find. ...
lecture7
... a) If the original set of data in known, round the confidence interval limits to one more decimal place than is used for the original set of data. b) When the original set of data is unknown, round the confidence interval limits to the same number of decimal places used for the sample mean. Example ...
... a) If the original set of data in known, round the confidence interval limits to one more decimal place than is used for the original set of data. b) When the original set of data is unknown, round the confidence interval limits to the same number of decimal places used for the sample mean. Example ...
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.