The use of the measure of central tendency

The use of the measure of central tendency

Descriptive designs can be classified based on the number of subjects, time dimension, and description of a phenomenon (Houser, 2016). Descriptive statistics are very important because if we simply presented our raw data it would be hard to visualize what the data was showing, especially if there was a lot of it. Descriptive statistics therefore enables us to present the data in a more meaningful way, which allows simpler interpretation of the data. Descriptive statistics can be useful for two purposes: 1) to provide basic information about variables in a dataset and 2) to highlight potential relationships between variables (OPRE, 2020). In the Hypothetical Data provided by Chamberlain, one of the questions is, “Do you own your residence?”

1. Yes               61%

2. No               39%

The use of the measure of central tendency plays a major part of this type of research. Measures of central tendency are the most basic and, often, the most informative description of a population’s characteristics. They describe the “average” member of the population of interest. There are three measures of central tendency: which is the mean, mode, median (OPRE, 2020). I feel this question was asked to see who had the debit of a mortgage and trying to attend nursing school. If things got hard it, those that owns their residence could use it to help finance school by taking possibly a second mortgage. Those that have a mortgage before considering going to nursing school would put in the work and calculate how much is needed and what they were willing to sacrifice for school. This question also allows the research group to look at the percentage to get a clear understanding that owning a residence is very possible also. By making the information taken from a larger scheme and made it realistic to see and made it simpler to understand.

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