![]() ![]() There are three ways to determine the central value in descriptive analysis: mean, median, and mode (University of Utah, 2021). A central value is such that it ideally represents all values in that dataset. The calculation of the average ‘central value’ of a dataset. Table 1: Sample for frequency distribution Central tendency in descriptive analysis Therefore the frequency distribution of that dataset can be shown as below: Gender For example, from figure 1 above, ‘male’ appears 4 times whereas ‘female’ appears 1 time. In the descriptive analysis, the frequency distribution is simply stating the number of times a response occurs in a dataset. Descriptive analysis can be performed in three ways (Hayes and Smith, 2021).įigure 2: Types of descriptive analysis Frequency distribution in descriptive analysis It provides information on the average values or the relationship between variables in the dataset. In quantitative research after collecting the data, the first step is to summarise its findings in the form of graphs, charts or tables. For example a margin of error with a value of 0.03 represents a 3% error possibility. Most studies aim to keep a low margin of error. Margin of error (e): The possibility of error or biasness in the derivation of the sample size or the collection of the dataset (Thompson and Liu, 2005).This sample size is technically called as ‘observations’. For instance, in the Figure 1, above the sample size is 5, as there are 5 respondents. Number of observations (n): The total sample size of the dataset.Every dataset will have two terms in common: The process of statistical analysis begins with the collection of a dataset like the one shown above. The image below represents a sample dataset. There are different rows and columns in a datasheet carrying data. It refers to the collection of numerical data in tabular form. The statistical analysis starts with the creation of a ‘dataset’ (Cambridge, 2021). In this article, we review some of the most basic terms in the following statistical tests: Likewise, there are many other statistical terms and symbols which frequently occur in statistical analysis. They are used to investigate patterns, trends, or relationships between items in a dataset. In some cases, it is represented by the symbol ‘μ’. It represents the average value of different populations in a sample dataset. For instance, ‘mean’ is one of the simplest and most basic mathematical measurements. They represent different terms and values. Statistics involves many symbols, letters, equations and abbreviations. Descriptive analysis is a popular method of examining a dataset’s characteristics.
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