For Case 2, splitting the sample between the public and private sectors will also eliminate bias, though the accuracy of the estimators will decrease.
The difference between the samples taken from SIDS infants and the control group were remarkable.
The sample consists of public facilities in South Africa and Zimbabwe.
Because of differences in class size between cities and between private and public schools, the sample sizes for the participating cities differ.
The difference in the margin between the combined sample and the landline sample was 11 points".
Furthermore, the sample was selected from a public university.
The sample sizes are typical of public opinion surveys.
When surveys are not routine in the public sector, we propose an activity that divides the sample between the two sectors (Case 2).
The sample population was evenly distributed between public (53.8%) and private (46.2%) clinics.
The variation among public providers was as great as that between the public and private providers.
