Analyzing Frequency Tables and Data Patterns for Effective Communication

Abstract

A Frequency Table A frequency table is a statistical diagram that summarizes data under two columns. The first column shows the data categories or groups. The second column shows the frequency, which is the total count of each dataset category. A frequency table may at times have 3 columns where the third column summarizes the percentages. Therefore, a frequency table shows different values of a dataset and how they occur. Data presented by a frequency table is easy to interpret and understand. Pattern of Results The pattern of results is the trend of a dataset. Statistically, researchers rely on data patterns to explain and expound more on significant data trends. Pattern results are primarily different because they depend on the dataset being analyzed. In statistics, the most popular pattern of results is correlation, which shows positive or negative association of variables. A change in one variable often results in an increase or decrease of the other variable. The trend is the second pattern of results, which shows the direction of the variables under investigation. There may be increasing/ decreasing figures in a dataset. Variability is another data pattern that indicates dispersion or data fluctuations. A low variability implies that the data is stable and easy to predict, while a high variability means that the data has a wide range of changes. The fourth pattern of results is the outliers, which are the unusual observations of a dataset. Data Visualization The most appropriate graph is a bar chart and a pie chart. The bar chart will summarize the frequency column, while the pie chart will summarize the percentage column. A bar chart is the most appropriate for discrete data. They are easy to interpret and read because each group is displayed by a separate bar. Therefore, one can easily compare the...