Although simple random samplings are a common research method, they are expensive to use, extremely time consuming and difficult to organize. A simple random sampling requires a complete list of all members of the target population so that the sample is a real representation of the larger group. Each individual in the population has the same chance of becoming part of the sample. All possible combinations of the sample are equally likely to occur, as well.
Continue ReadingDepending upon the geographic spread of the population, simple random sampling is sometimes expensive and, on occasion, simply too massive. If collecting data from the sample takes too long because of the size, the data may become outdated before the study is completed. In addition, the membership of a population or sample varies if too much time passes. It is extremely difficult to conduct personal interviews as part of the simple random sampling method because the number of participants is often just too large. This means that the type of data collected is limited to what can be collected efficiently. Even though the sampling is intended to represent the entire population, small minority populations are sometimes missed because enough members simply are not selected when the sample is chosen by lottery.
Learn more about StatisticsA Solomon four-group design is an experimental design method that avoids some of the difficulties of pre-test/post-test design. This testing method involves four test groups, each of which is assigned to be exposed to different components of the testing process. This is used to ensure that no individual component of the testing process has an influence on the results of the testing.
Full Answer >Sampling, in statistics, is a method of answering questions that deal with large numbers of individuals by selecting a smaller subset of the population for study. One of the most prevalent types of sampling is random sampling.
Full Answer >One of the greatest disadvantages of using range as a method of dispersion is that range is sensitive to outliers in the data. Range only considers the smallest and largest data elements in the set.
Full Answer >In the field of math, data presentation is the method by which people summarize, organize and communicate information using a variety of tools, such as diagrams, distribution charts, histograms and graphs. The methods used to present mathematical data vary widely. Common presentation modes including coding data, data analysis, drawing diagrams, boxplots, tables, pie charts and histograms.
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