"Good" and "Bad" Data
Exploring data is something that comes up in our everyday lives. We view statistics of sports teams, use data in math and science, and hear stories of collected data on things like the news all the time. So considering that we hear, see and collect data all the time, how are we suppose to know if that data is valid, or just misleading? We should always analyze our data, because you never know if what you are reading is true. Now, what makes data "good" data? When looking at a set of data or even a graph, you must make sure that you are able to comprehend the data. If it is easily understood, it is possible that the data could be accurate. Also make sure that the data is valid and relevant. Ask yourself, is this information plausible? Does it make sense? Is it possible for grandma to live to age 120? Or, does 101 sound more realistic? When it comes to graphs, always check that the axis are labeled, and that they correspond in some way. Also, consider the scale of the