Confidence Intervals: Estimating the Population Mean, µ In a sampling distribution that is Normal, what percent of the sample means fall within 2 standard deviations of the mean? This means that ___ percent of the time, when a sample mean is selected from the population,...
Thus, we reconsider one of the basic questions in the observational study of ocean turbulence: When a vertical profile of the energy dissipation rate is given, how can one estimate the energy input rate or the population mean of the energy dissipation rate for a profile, which has been common...
(original abstract)Kajal DihidarDihidar K.Estimating population mean with missing data in unequal probability sampling. Sampling methods and estimation . 2014
Mean Squared Error (MSE)Relative EfficiencySimple Random Sampling without Replacement (SRSWOR)Probability Proportional to Size (PPS) SamplingThe paper deals with a generalized estimator of population mean which includes several estimators as its particular cases. Under certain conditions, the proposeDubey,...
Small enough relative to the population size that the correction factor is close to 1. Confidence Interval (CI) μ: ¯X±Z⋅SEμ: X¯±Z⋅SE p:^p±Z⋅SEp:p^±Z⋅SE where ¯X,μX¯,μ are sample mean and population mean respectively, ^p,pp^,p are sample percents an...
Approximate Confidence Intervals for a Population Proportion As a consequence of the last theorem, one may write : So , solving for p inside the parentheses of P ( ) , one obtains Let’s see how to use this statement to obtain an approximate two-sided confidence interval ...
A double L ranked set sampling (DLRSS) method is suggested for estimating the population mean. The DLRSS is compared with the simple random sampling (SRS), ranked set sampling (RSS) and L ranked set sampling (LRSS) methods based on the same number of measured units. The conditions for ...
This calculator finds the minimum sample size required to estimate the population mean (μμ) within a specified margin of error. Please select type the the significance level (αα), the population standard deviation σσ (or the approximated pop. standard deviation. If not known, the sample ...
On estimating the population mean using auxiliary character in stratified random samplingThis paper suggests new ratio estimators in stratified random sampling using the information of an auxiliary attribute. Theoretically, it is obtained the bias and mean square error (MSE) for these estimators and ...
In this paper, a family of estimators for finite population mean using robust regression with known parameters of an auxiliary variable that is related to the study variable has been proposed. Expression of the bias and mean square error of the improved family of estimators has been demonstrated ...