A usual way to represent this is by using bar charts.Ĭontinuous Data: These are data that can take values between a certain range with the highest and lowest values. For example, data on the blood group of a certain population or on their genders is termed as discrete data. Discrete and Continuous Dataĭiscrete Data: These are data that can take only certain specific values rather than a range of values. Learn how to find the Mode of the data and its relationship with the Median and Mean here. An example is an information available on the Government of India, the Department of Finance’s website or in other repositories, books, journals, etc. This information is impure as statistical operations may have been performed on them already. This means that this kind of data has already been collected by some researchers or investigators in the past and is available either in published or unpublished form. They are the data that are sourced from someplace that has originally collected it. Range and Mean Deviation for Ungrouped Data.Range and Mean Deviation for Grouped Data. An example of primary data is the Census of India.ĭownload the Cheat Sheet of Statistics by clicking on the button below Primary data are ‘pure’ in the sense that no statistical operations have been performed on them and they are original. These are the data that are collected for the first time by an investigator for a specific purpose. This information is numerical and can be classified as quantitative.ĭepending on the source, it can classify as primary data or secondary data. For example, data on the number of students playing different sports from your class gives an estimate of how many of the total students play which sport. They can be numerically represented and calculations can be performed on them. Quantitative Data: These can be measured and not simply observed.They are more exploratory than conclusive in nature. For example, data on attributes such as intelligence, honesty, wisdom, cleanliness, and creativity collected using the students of your class a sample would be classified as qualitative. They depict descriptions that may be observed but cannot be computed or calculated. Qualitative Data: They represent some characteristics or attributes.Once you know the difference between them, you can know how to use them. Types of Dataĭata may be qualitative or quantitative. The source of data ( primary data, secondary data) is also an important factor. When arranged in an organized form, can be called information. It is a collection of facts and figures to be used for a specific purpose such as a survey or analysis. It is the different values of that quantity represented together in a set. Data can be defined as a systematic record of a particular quantity.
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