A representative sample.
yes the size is 4444
A sample is a subset of the population.
A random sample is a sample (subset of the population) where each member of the population has an equal chance of being sampled. See related links.
n = sample sizen1 = sample 1 sizen2 = sample 2 size= sample meanμ0 = hypothesized population meanμ1 = population 1 meanμ2 = population 2 meanσ = population standard deviationσ2 = population variance
A representative sample.
Convenience sample
That the key characteristics of the population are reflected in the sample.
quota sample
It is called a representative sample.
A sample that accurately reflects the characteristics of the population as a whole
Under-Coverage
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.
If the sample is not representative of the population, then the characteristics of the sample are not the characteristics of the population. Example: If I want to estimate the percentage of the population that are men, and my sample is the school's football team, my estimate would be that 100% of the population is comprised of men. What went wrong with my survey ? Simple. The football team is not a representative sample of the population, at least not as regards gender.
they must be correct and they must be the right kind of sample
Post stratification is a statistical technique used to improve the precision of estimates by adjusting sample weights based on known population characteristics. It involves dividing the sample into subgroups (strata) based on certain characteristics and then adjusting the weights of each subgroup to better reflect the overall population. This helps to reduce bias and improve the accuracy of estimates in survey sampling.
A survey is biased when the questions are framed in a way that influences respondents to answer in a certain way or when the sample population is not representative of the target population, leading to results that do not accurately reflect the true opinions or characteristics of the group being surveyed.