Population
Population
You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.
Universe is the total population from which the sample is drawn. For example, if you are sampling 500 houses from a city that has 10,000 houses, the universe here is the 10,000 houses.
The sample size has no effect on the validity of an experiment: instead, it is the experimental procedure and integrity of the experimenters.The sample size can affect conclusions that may be drawn from an experiment. The larger the sample is, the more reliable these conclusions are.
When we think of the term "population," we usually think of people in our town, region, state or country and their respective characteristics such as gender, age, marital status, ethnic membership, religion and so forth. In statistics the term "population" takes on a slightly different meaning. The "population" in statistics includes all members of a defined group that we are studying or collecting information on for data driven decisions.A part of the population is called a sample. It is a proportion of the population, a slice of it, a part of it and all its characteristics. A sample is a scientifically drawn group that actually possesses the same characteristics as the population - if it is drawn randomly.(This may be hard for you to believe, but it is true!)
Population
A group of people you collect data from is commonly referred to as a "sample." This sample is typically drawn from a larger population to represent it in a study or survey. The data collected from this sample helps researchers make inferences about the broader population.
You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.
It is the population.
Yes, a convenience survey is often unrepresentative of a larger group because it relies on a non-random sample that is easily accessible to the researcher. This can lead to biased results, as the sample may not reflect the diversity or characteristics of the entire population. Consequently, conclusions drawn from such surveys may not be generalizable to the broader group.
what information about the sample of a mean not provide
Testing for alcohol can be performed with an alcohol breath machine, with a sample of blood drawn, with a sample of urine, with a sample of mouth fluid, or with a sample of sweat.
Universe is the total population from which the sample is drawn. For example, if you are sampling 500 houses from a city that has 10,000 houses, the universe here is the 10,000 houses.
sampling base
yes the size is 4444
there is a matching of the first sample data drawn and a corresponding data value in the second sample data.
Data gathering in two different samples such that there is matching of the first sample data drawn and a corresponding data value in the second sample.