This question gets at the core of statistics.
Statistics has two central ideas: a population, and a sample. All of statistics is an attempt of ways to understand the entire population without actually observing every entity within it - by choosing and observing only a sample (a sub-set) of the full population.
As an example, if we wish to find the average ratio of males to females on the entire planet, we can do this one of two ways. Either we actually count every person on the planet and after a very lengthy process we will have the answer. Or alternatively, we can use statistics to simplify the effort by selecting a smaller group of people (we call this a sample) that we believe will accurately represent, without any bias, the entire planet's population.
If we take this second approach, also called a sampling approach, one of the most important decision to take is the number of people to include in this group (in the sample). This number - known as the "Sample Size" - is the number of a population that will be evaluated as representing the entire population, and from which statistics will be derived.
Choosing a sample size too large will require extra unnecessary effort, but one too small will not accurately represent the entire population (and the statistics or averages derived might not be correct - we won't even know IF the statistics are correct or incorrect - so we won't know if we need to repeat with another sample).
It means that the every element in a population has an equal chance of being selected to be in the sample which is studied. Equivalently, in considering a sample of a particular size, every possible sample of that size has the same chance of being selected.
measurments
The great size or extent of something.
Geometry is a branch of mathematics concerned with questions of shape and size.
a device that helps make work easier by changing the size or direction of force
Sample size is the number of samples arawn from a population. If you drew 20 samples, your sample size would be 20.
The sample size is the number of elements, out of a population, for which some data are measured in order to make assessments about the population.
A probability sample is one in which each member of the population has the same probability of being included. An alternative and equivalent definition is that it is a sample such that the probability of selecting that particular sample is the same for all samples of that size which could be drawn from the population.
According to Google, a sample size is a size of product that is cheap enough to give out for free without losing to much money. The purpose of a free-sample is to give people a free taste of your product to entice them to come back and buy more.
There are two equivalent definition. Definition 1: A simple random sample is one for which each element has the same probability of being included in the sample. Definition 2: A simple random sample is one where all sample of that size have the same probability of being selected. Although the words are similar, the first refers to the selection of individuals from the population whereas the second refers to the samples.
Density is an intensive quantity which means it is independent of size. This can be seen from the definition of density. Density = mass/volume So if the sample size increases than so does the mass, but the density remains unchanged.
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
a sample is a sample sized piece given... a sample size is the amount given in one sample
There are two equivalent ways of defining a simple random sample from a larger population. One definition is that every member of the population has the same probability of being included in the sample. The second is that, if you generate all possible samples of the given size from the population, then each such sample has the same probability of being selected for use.
A biased sample is a Statistical Sample in which the sample is biased or have more samples of the things that is being influenced.
sample size is the specific size of a thing like the how long or wide. while sample unit is the whole thing not referring to specific number size.
A sample is Unbiased if everyone in the sample have an equal chance of being selected