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Quantitative Analysis Quantitative Analysis for Business Summarising Data Part of the reason why we analyse data is to see patterns. It is difficult to see patterns in data without summarising the data in some way. The most common way to summarise data is to convert the data into a summary table, into a graph or picture, or to use summary measures like the average. The benefit of this type of summary is that it gives us an instant picture of what is going on in our data set. The problem is that we often lose the detail of the original data. Frequency Distributions Suppose you have collected some data on the number of children in people's families. The variable we are measuring is 'number of children in the family'. The values that this variable can take are numbers like 0, 1, 2 or 3. These are discrete data, in that they can only be measured...

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