You want in know how American citizens feel about the war in Iraq. Your population: The United States Your sample: 500 citizens selected randomly from each state.
Since the answers all over the US would greatly vary, it is important to have everyone in the population represented in your sample. This is usually done through random sampling, which assumes no biases seeing as the subjects were selected at random.
What is the difference between the population and sample regression functions? Is this a distinction without difference?
A sample of a population is a subset of the population. The average of the population is a statistical measure for some variable of the population.
A sample is any subset of the total population. A representative sample is one that is chosen so that its characteristics are similar to that of the population.
Zero
A population includes all members of a defined group. A sample, on the other hand, is just a part of the population.
You calculate the actual sample mean, and from that number, you then estimate the probable mean (or the range) of the population from which that sample was drawn.
Sampling Error
Sampling bias.
the sampled population includes all people whom are included in the sample, the targeted population is what the statistics practitioner is targeting or questioning
population is the number of citizens living in a defined geographical area. Sample is a number taken from the population being the sample to research for a topic about the populations' behavior or habit, etc.
A Census is the type of survey for a complete population. A Sample Survey is only a portion of the population which is used to make predictions on the representation of the actual population.
standard error