![]() Graphing the data can often help make those relationships and trends easier to see. Comparing mean average or median numbers of objects, observing trends of increasing or decreasing numbers, comparing modes or numbers of items that occur most frequently are just a few examples of quantitative analysis.īesides analyzing data on tables or charts, graphs can be used to make a picture of the data. There are many observations that can be made when looking at a data table. Recording data on a table or chart makes it much easier to observe relationships and trends. In student terms, this is called “looking for patterns in the data.” Did the change I made have an effect that can be measured? The goal of data analysis is to determine if there is a relationship between the independent and dependent variables. Using technology, such as spreadsheets, to organize the data can make it easily accessible to add to and edit.Īfter data has been collected, the next step is to analyze it. Organizing data will be helpful for identifying relationships later when making an analysis. Describes physical properties such as how something looks, feels, smells, tastes, or sounds.Īs data is collected it can be organized into lists and tables.May involve the use of a scale such as in the example below.Uses standard metric units (For instance, meters and centimeters for length, grams for mass, and degrees Celsius for volume.Involves tools such as rulers, timers, graduated cylinders, etc. ![]()
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