What is the difference between the population and sample regression functions? Is this a distinction without difference?
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
the sampled population includes all people whom are included in the sample, the targeted population is what the statistics practitioner is targeting or questioning
Sampling bias.
What is the difference between the population and sample regression functions? Is this a distinction without difference?
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.
the sampled population includes all people whom are included in the sample, the targeted population is what the statistics practitioner is targeting or questioning
Sampling bias.
Sampling Error
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
A parameter is an attribute that refers to the entire population. (For example, the mean price of all motor vehicles in a city). A sample is collected from this population of all motor vehicles in that city to compute a statistic (here, the statistic is the average price of the vehicles in the sample) which is representative of the true price.