Populations and Sampling

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Populations and Sampling Populations and Sampling Population is defined as a collection of the simplest or most essential part or principle of which anything consists, in which we have a desire to study. It is important to understand that a population includes all of what we are curious about. Some types of data include parameters which are measurements that describe some of the characteristics of a population. Population is understood to be the unit in which you are counting and is most interested in based off of area, households, or even significant events. Trying to find a suitable population for surveying research is key. Gathering specific information from an area that you have interest for must have the right parameters emplaced and the sampling from these populations must meet the desired criteria for the study. Comparing the relations between population and samples. Population can be explained as the whole set of values of interest. Samples are defined as a subset of that population. The samples are the values for which we base our estimation. As an example if we wanted to know the primary eye color of Florida, Florida would be considered the actual population. This number is too vast to measure; therefore we would need a sample. We would then choose a select number of people within the population to represent the whole, our inference would be based on this data. Populations and samples are very much related because as stated before they work together. In order to gather good quantitative and qualitative data it is important to use the appropriate units of measurement for the data being gathered. The relation between populations and samples can be related by the characteristics of measurements which are parameters and statistics. In which parameters describe the characteristics that assist in gathering accurate data for a population, and
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