Sample Design, Drawing & Data Analysis Using Data Frames
Calculate proportion and margin of error (unequal-sized cluster sample...
Removes duplicate observations within collected data
Identifies duplicate values within collected data
Determines sample size by strata using sub-units
Identifies missing points between sample and collected data
Calculate proportion and margin of error (simple random sample)
Draws simple random sample without replacement
Determines random sample size
Identifies number of missing points by strata between sample and colle...
Calculate proportion and margin of error (stratified sample)
Draws stratifed sample without replacement using proportional allocati...
Determines sample size by strata using proportional allocation
Determine sample sizes, draw samples, and conduct data analysis using data frames. It specifically enables you to determine simple random sample sizes, stratified sample sizes, and complex stratified sample sizes using a secondary variable such as population; draw simple random samples and stratified random samples from sampling data frames; determine which observations are missing from a random sample, missing by strata, duplicated within a dataset; and perform data analysis, including proportions, margins of error and upper and lower bounds for simple, stratified and cluster sample designs.