Lab 9, 3-18-09 - Hanover College
... a. For "Inpt", choose Stats; enter the values for the sample mean, standard deviation, and sample size; for "C-Level" put .95; press enter on "Calculate." Write the interval here for number of letters in first name: ...
... a. For "Inpt", choose Stats; enter the values for the sample mean, standard deviation, and sample size; for "C-Level" put .95; press enter on "Calculate." Write the interval here for number of letters in first name: ...
Sol-page2
... You must be careful about what you say about confidence intervals. Remember that a confidence interval is an ESTIMATE for the UNKNOWN parameter mu, which is the mean score of all students who took the test. We are trying to estimate mu by selecting a sample. Our sample yields an x-bar of 59.2. This ...
... You must be careful about what you say about confidence intervals. Remember that a confidence interval is an ESTIMATE for the UNKNOWN parameter mu, which is the mean score of all students who took the test. We are trying to estimate mu by selecting a sample. Our sample yields an x-bar of 59.2. This ...
Part5 - De Anza College
... If p is completely unknown, p can be set equal to ½ which maximizes the value of (p)(1-p) and guarantees the confidence interval will fall within the margin of error. ...
... If p is completely unknown, p can be set equal to ½ which maximizes the value of (p)(1-p) and guarantees the confidence interval will fall within the margin of error. ...
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.