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Society

Quantitative reasoning and society

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Quantitative reasoning and society

            Data is defined to be “plain facts usually represented in numbers” (Schay, 2016). In this information, the data recorded here are the number of respective fruits in their varieties correspondingly. The chart employed in this data is the pie chart. The pie chart is “a convenient way of presenting a whole percentage” (Paulson, 2003). This type of chart is most appropriate at the point of demonstrating complete data as an overall proportion (Paulson, 2003). Furthermore, the pie chart is simple to understand; hence it is a proper tool for passing information, primarily for the audience or is uninformed. The pie chart allows the viewer to view the comparison of data at an instance and be able to grasp the data immediately. Furthermore, the readers can measure and examine information on their own with the use of this type of chart. It is further possible to manipulate data in the pie chart to emphasize a point (Paulson, 2003)

The measures of central tendencies are the mode, mean, and median. The mean is the average of any given data. It can assume both continuous and discrete data. The mean value provides a value that outputs the amount of error that is lowest from the respective values within the set of data (Schay, 2016). Median is defined as the average value of any given data when it is arranged from the order of magnitude. It is less affected by skewed data and outliers. The mode is defined as “the value that is most frequent in any given set of data” (Schay, 2016).

From the Fig 1, the mean of the fruits is 4.3; this means that the average number of fruit eaten in a month is 4.3, while the mode of the fruit eaten in a month is 4. Finally, the fruits that are commonly consumed regularly each month are bananas; this is the mode which is 10, which makes 23% of the total data.

 

Fig 1: Pie chart.

 

  Remember! This is just a sample.

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