{"id":59587,"date":"2018-07-13T06:22:09","date_gmt":"2018-07-13T13:22:09","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/?p=59587"},"modified":"2023-10-17T10:27:51","modified_gmt":"2023-10-17T10:27:51","slug":"ratio-data","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/ratio-data\/","title":{"rendered":"Ratio Data: Definition, Characteristics and Examples"},"content":{"rendered":"

Data analysis<\/a> is a crucial part of the research process. You can only claim that your research was successful once you have analyzed the data and prepared a report. Ratio data is one of the four categories of data levels of measurement. Other types include <\/span>ordinal<\/span><\/a>, interval, and <\/span>nominal<\/span><\/a> (categorical).<\/span><\/p>\n

In this blog, we’ll look more closely at the various aspects of this data. If you want to jump to a specific topic, you can use the following clickable content index:<\/span><\/p>\n

\n

Content Index<\/p>\n

    \n
  1. What is Ratio Data?<\/a><\/li>\n
  2. Characteristics of Ratio Data<\/a><\/li>\n
  3. Ways to Calculate Ratio Data<\/a><\/li>\n
  4. Ratio Data Analysis Techniques<\/a><\/li>\n
  5. Difference Between Ratio Data and Interval Data<\/a><\/li>\n
  6. Examples of Ratio Data in Survey<\/a><\/li>\n
  7. Conclusion<\/a><\/li>\n<\/ol>\n<\/div>\n

    What is Ratio Data?<\/h2>\n

    Ratio Data is defined as <\/span>quantitative data<\/span><\/a>, having the same properties as <\/span>interval data<\/span><\/a>, with an equal and definitive ratio between each data and absolute \u201czero\u201d being treated as a point of origin. In other words, there can be no negative numerical value in ratio data.<\/span><\/p>\n

    For example:
    <\/span>Four people are randomly selected and asked how much money they have with them. Here are the results: $20, $40, $60, and $80.<\/span><\/p>\n