class notes
... original data frame has names, these are carried over to the new data frame. If you only want some of the rows, then specify these the way it is done with matrices: LatLong = Temp[2:3] #extract variables 2 through 3 LatLong = Temp[c("Lat","Long")] #extract Lat and Long LatLong1 = Temp[1:20,c("Lat"," ...
... original data frame has names, these are carried over to the new data frame. If you only want some of the rows, then specify these the way it is done with matrices: LatLong = Temp[2:3] #extract variables 2 through 3 LatLong = Temp[c("Lat","Long")] #extract Lat and Long LatLong1 = Temp[1:20,c("Lat"," ...
Chap8.1
... • An interval calculated from the data, which has the form: estimate ± margin of error • The margin of error tells how close the estimate tends to be to the unknown parameter in repeated random sampling. • A confidence level C, the overall success rate of the method for calculating the confidence in ...
... • An interval calculated from the data, which has the form: estimate ± margin of error • The margin of error tells how close the estimate tends to be to the unknown parameter in repeated random sampling. • A confidence level C, the overall success rate of the method for calculating the confidence in ...
Two-sample t-tests ∼ Colin Aitken University of Edinburgh
... Comments on random samples Comments on sampling from Evett and Weir Interpreting DNA evidence (1998) “Of course, a real crime laboratory would not attempt ... to take a random, representative, stratified sample of individuals to address the question of issue. In the vast majority of cases the labor ...
... Comments on random samples Comments on sampling from Evett and Weir Interpreting DNA evidence (1998) “Of course, a real crime laboratory would not attempt ... to take a random, representative, stratified sample of individuals to address the question of issue. In the vast majority of cases the labor ...
A nonparametric Bayesian prediction interval for a finite population
... in terms of the distribution function of the sample. In addition, Lo [4] discussed the Bayesian bootstrap for finite population with prediction intervals. Under stratification both Binder [2] and Lo [3] showed how the asymptotic interval for the random sampling extends easily to cover stratification ...
... in terms of the distribution function of the sample. In addition, Lo [4] discussed the Bayesian bootstrap for finite population with prediction intervals. Under stratification both Binder [2] and Lo [3] showed how the asymptotic interval for the random sampling extends easily to cover stratification ...
Estimating the sample mean and standard deviation from the
... one may have to estimate the sample mean and standard deviation for such trials. Methods: In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al.’s method (BMC Med Res Methodol 5:13, 2005) has som ...
... one may have to estimate the sample mean and standard deviation for such trials. Methods: In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al.’s method (BMC Med Res Methodol 5:13, 2005) has som ...