What is the difference between sample count
and total count?

A lot of researchers often perform a total count or a sample count in research. The difference between sample count  and total count is that a total count is done when the whole study area is surveyed but a sample count is done only when parts of the study area are surveyed.

The results obtained from those parts are used for the whole study area to approximately know the total population size.

Wildlife sampling methods often uses different methods of estimating animal numbers or densities. they are direct counts of population units, and indirect counts and indices.

Wild animals are very difficult to count as all  animals are never distributed evenly within the sample area and there may be fluctuations.

Learn more about Wildlife sampling methods from

link

A sample count is the data from a sample, or a small group. A total count would be the data from the entirety of whats being studied, not just a sample.

explanation: