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The above scatter plot can be transformed into a line graph showing the mean energy values: In this example, it would be a best guess at what the true energy level was for a given temperature. Without going into detail, the mean is a way of summarizing a group of data and stating a best guess at what the true value of the dependent variable value is for that independent variable level. The mean, or average, of a group of values describes a middle point, or central tendency, about which data points vary. Can we say there is any difference in energy level at 0 and 20 degrees? One way to do this is to use the descriptive statistic, mean. These ranges in values represent the uncertainty in our measurement. In fact, there are a number of measurements at 0 degrees (shown in crosses) that are very close to measurements taken at 20 degrees (shown in light green triangles). On the other hand, at both 0 and 20 degrees, the values range quite a bit. At -195 degrees, the energy values (shown in blue diamonds) all hover around 0 joules. Notice the range of energy values recorded at each of the temperatures. The resulting data (and graph) might look like this:įor clarity, the data for each level of the independent variable (temperature) has been plotted on the scatter plot in a different color and symbol. Because there is not perfect precision in recording this absorbed energy, five different metal bars are tested at each temperature level. In this case, the temperature of the metal is the independent variable being manipulated by the researcher and the amount of energy absorbed is the dependent variable being recorded.
![how to make accurate standard error bars in excel how to make accurate standard error bars in excel](https://peltiertech.com/images/2008-12/err2007herrbars1.png)
Let's take, for example, the impact energy absorbed by a metal at various temperatures. This distribution of data values is often represented by showing a single data point, representing the mean value of the data, and error bars to represent the overall distribution of the data.
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Though no one of these measurements are likely to be more precise than any other, this group of values, it is hoped, will cluster about the true value you are trying to measure. The knowledge that any individual measurement you make in a lab will lack perfect precision often leads a researcher to choose to take multiple measurements at some independent variable level. Untitled Document Using Error Bars in your Graph for Excel-2007