sampling base
A sample frame is a list of population units/elements commonly referred to as sample members from which to select units/elements to be sampled. Regards Siphokazo Mondliwa
A sample is a subset of a population that is selected for research or analysis. It represents a smaller group that is studied to make inferences about the larger population. A sampling frame, on the other hand, is a list of all the elements in the population from which the sample is drawn. It serves as the source from which the sample is selected and should ideally include all members of the population.
A sampling frame is a list or database that includes all the elements in the population from which a sample will be drawn. It serves as a practical representation of the target population, ensuring that every member has a chance to be selected. An accurate sampling frame is crucial for conducting valid and reliable research, as it helps minimize bias and improves the generalizability of the results.
Samplig frame is the source material from which the sample is drawn. If you have a 'list' of names of all inviduals from which you could draw a sample, the list is a sampling frame. A samplig unit is the sample being chosen.
A list of all eligable sampling units from which the sample can be drawn (eg telephone directories, electronic registers, company lists, club membership lists etc)
A random sample is a sample drawn in such a way that every item in the population has an equal and independent chance of being included in the sample.In real life, the ability to choose a random sample is dependent on the type of object being sampled: If the population is small and in a single place, say balls in an urn, you just pick a ball out of the urn. But say you want to choose a random sample of the people in a small town. This is far more problematic - you have to have a list of all the people, and then choose random items from the list. But you may not have access to that list. Please see the story of the Literary Digest Presidential Election Poll at the related link to appreciate the problem of a non-random sample.
A random sample is a sample drawn in such a way that every item in the population has an equal and independent chance of being included in the sample.In real life, the ability to choose a random sample is dependent on the type of object being sampled: If the population is small and in a single place, say balls in an urn, you just pick a ball out of the urn. But say you want to choose a random sample of the people in a small town. This is far more problematic - you have to have a list of all the people, and then choose random items from the list. But you may not have access to that list. Please see the story of the Literary Digest Presidential Election Poll at the related link to appreciate the problem of a non-random sample.
because it is the list that is used for assigning numbers to individual in the population.
Population and SamplePopulation is the area in which you are trying to get information from. Sample is a section of your population that you are actually going to survey. It is important to have a sample that will represent your entire population in order to minimize biases. For example: 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.
A sample of a population that has been selected using a pattern is when a researcher selects every 10th person from a list or sampling frame. For example, if a researcher wants to study the attitudes of employees in a large company, they may select every 10th employee from the company directory. This method ensures a systematic pattern in selecting the sample.
In every third student on a non-alphabetized list of names selected from your school to answer a survey would be considered a systematic sample. This sampling method involves selecting individuals at regular intervals from a larger population, ensuring that the sample is spread out across the entire list. It helps in reducing bias and can yield a representative sample if the list is not ordered in a way that affects the outcome.
No.