When a population is too large, then a sample of the population would be taken to determine the information wanted. For example if you wanted to find out the average IQ of Americans you would not want to give every person living in the United States an IQ test, because that would be highly unrealistic, instead you would want to sample a random group of Americans from multiple backgrounds to get an average IQ of Americans.
Portion of the entire population used to estimate what is likely happening within a population.
AnswerA sample is a subset of a population. Usually it is impossible to test an entire population so tests are done on a sample of that population. These samples can be selected so that they are representative of the population in which cases the sample will have weights, strata, and clusters. But usually people use random samples. So it's not that the line is different, it's that the line comes from different data. In stats we have formulas that allow a sample to represent a population, if you have the entire population (again unlikely), you wouldn't need to use this sample formulas, only the population formulas.
The sample consisted of the entire population.
The sample is a subset of the population. For example, the population may be all the people at your school. A sample might be 5 people from each class. There are different types of sampling methods. The most commonly used is a simple random sample. When your obtain data from the entire population this is called a census.
Similarity: Both are counts of people/animals/things. Difference: Population is the total # of things, while sample is the # of things that you gather data on. If you pick the right sample size, you can be pretty confident that the results of the sample data is the same as the results of the entire population.
The entire population.
A small number of people used to represent an entire population is called a sample. Typically the sample reflects characteristics of the larger population from which it is drawn.
The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.
It is the population.
A random sample should be taken from an entire population.
Portion of the entire population used to estimate what is likely happening within a population.
a sample
It means you can take a measure of the variance of the sample and expect that result to be consistent for the entire population, and the sample is a valid representation for/of the population and does not influence that measure of the population.
AnswerA sample is a subset of a population. Usually it is impossible to test an entire population so tests are done on a sample of that population. These samples can be selected so that they are representative of the population in which cases the sample will have weights, strata, and clusters. But usually people use random samples. So it's not that the line is different, it's that the line comes from different data. In stats we have formulas that allow a sample to represent a population, if you have the entire population (again unlikely), you wouldn't need to use this sample formulas, only the population formulas.
well a sample size can be any size depending on the requirements. A sample size could be 10 people of that entire population or it could be 1000 people.
A sample is a small part used to represent an entire population. It is selected to provide insights into the characteristics of the larger group it represents.
Statistics: Survey of an entire population, as opposed to a sample survey.