Graphing Data and Calculating the Uncertainty in Gradient

In the first part of this video, we demonstrate how to present processed data in a graph. In the second part, we go over how to determine the uncertainty in the gradient, and in that case, we show how to draw lines with maximum and minimum gradient.

We also talk about two types of measurement errors: random and systematic errors. In addition, we provide a brief explanation of how Google spreadsheet draws a best-fit line and calculates the gradient of such a line and its uncertainties.

Chapters:
0:00 Intro
0:17 Finding the Value of g
1:13 Independent & Dependent Variables in a Graph
2:00 The Graph
2:38 Obtaining Information from the Best-Fit Line
4:07 Random vs Systematic Errors
5:04 Lines of Maximum and Minimum Gradient
7:33 Uncertainty in Gradient
8:37 My Personal Approach to Draw Lines of Maximum and Minimum Gradient
10:01 Final Result