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You are evaluating the effect of different types of fertilizers on plant growth. Depending on the type of data, and the story that you are trying to tell using that data, you may present your data in different ways. I give the amount of bubbles a score of 7 on a scale of 1-10.Īfter you have collected data in an experiment, you need to figure out the best way to present that data in a meaningful way. The chemical reaction has produced a lot of bubbles. The chemical reaction has produced 5cm of bubbles. Saying that one worm is longer than another worm is a qualitative measurement. Qualitative measurements describe a quality, rather than a numerical value. For example, measuring a worm as being 5cm in length is a quantitative measurement. Quantitative measurements gather numerical data.
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All of these depend on the person who is making the observation – someone else might make these measurements differently. Rating your relative happiness on a scale of 1-5 is a subjective measurement. Grading the quality of a presentation is a subjective measurement. Surveying people about which of two chemicals smells worse is a subjective measurement. The measurement is determined by the subject who is doing the measuring. Subjective data might give two different answers when collected by two different people. Subjective data is based on opinions, points of view, or emotional judgment. The observation that a chemical reaction in a test tube changed color is an objective measurement. The length of a worm measured with a ruler is an objective measurement. The measurement is determined by the object that is being measured. This means that if two people made the same measurement with the same tool, they would get the same answer. Objective data is fact-based, measurable, and observable. Typically, we try to design experiments that collect objective, quantitative data. There are different types of data that can be collected in an experiment. Presenting Data – Graphs and Tables Types of Data