i need help with identify population sample and sampling method
http://score.kings.k12.ca.us/lessons/wwwstats/population.html
http://www.statpac.com/surveys/sampling.htm
do u have more info about identify population sample and sampling method
If you post your entire assignment, I may be able to find more information for you.
Sure! I can help you with that. The terms "population," "sample," and "sampling method" are commonly used in research and statistics. Let's break down each term and how they relate to each other.
1. Population: In statistics, population refers to the entire group of individuals or items that we are interested in studying. It represents the larger group from which we want to draw conclusions. For example, if you want to know about the average height of adults in a country, the population would be all adults in that country.
2. Sample: A sample is a subset of a population that is selected to represent the larger group. Since it is often not practical or feasible to study an entire population, we select a smaller group or sample to gather information. Using the previous example, if you want to know about the average height of adults in a country, you can select a random group of adults from different regions to form your sample.
3. Sampling Method: A sampling method is the technique used to select the individuals or items for a sample from the population. There are various sampling methods available, each with its own advantages and disadvantages. The choice of sampling method depends on the research objectives, available resources, and how representative you want your sample to be.
Here are a few common sampling methods:
- Simple Random Sampling: In this method, each individual or item in the population has an equal chance of being selected for the sample. This can be done using random number generators or by assigning numbers to each member of the population and selecting randomly.
- Stratified Sampling: This method involves dividing the population into subgroups or strata based on specific characteristics (e.g., age, gender, income). Then, a sample is selected from each stratum in proportion to its representation in the population. This ensures that each subgroup is adequately represented in the sample.
- Cluster Sampling: With this method, the population is divided into clusters or groups. A cluster is randomly selected, and all individuals within the chosen clusters are included in the sample. This method is often used when the population is geographically dispersed.
- Convenience Sampling: This is a nonprobability sampling method wherein individuals who are easily accessible and available are included in the sample. While it is convenient, it may not provide a representative sample and can introduce bias.
It's important to consider the strengths and limitations of each sampling method to ensure that your sample is representative and yields reliable results.
If you provide more specific details about your research or the particular scenario you are working with, I can provide more tailored guidance and help you identify the appropriate population, sample, and sampling method.