IB Chemistry IA Error Analysis


Summary

The video explains the process of investigating the rate law and activation energy of the Thiosulfate-Hydrochloric Acid reaction. It emphasizes the importance of considering experimental uncertainties and demonstrates the use of Google Sheets and Plotly to account for errors in the data. The video covers how to calculate uncertainties in both X and Y directions, create Arenus plots, and compare experimental results with literature values, calculating percent error to analyze the accuracy of the findings.


Introduction to Kinetics Lab

Introducing the topic of investigating the rate law and parameters of the Thiosulfate-Hydrochloric Acid reaction and the process of determining activation energy.

Processing Experimental Errors

Explaining the importance of considering experimental uncertainties, using Google Sheets and Plotly to account for errors in experimental data.

Handling Uncertainty in Data

Discussing the calculation of uncertainties in both X and Y directions and the method of combining uncertainties for independent and dependent variables.

Usage of Plotly for Error Bars

Demonstrating the utilization of Plotly to graph data and insert error bars to assess the uncertainty in the resulting trends.

Data Processing and Analysis

Explaining the data processing steps and analysis involved in calculating activation energy, including creating an Arenus plot and incorporating significant figures.

Inserting Error Bars in Plotly

Detailing the process of inserting error bars in Plotly to visualize the range of possible values and uncertainties in the data points.

Fitting Data and Expressing Trend Uncertainty

Adding trend lines to data points, using error data to weigh fit, and expressing uncertainty in the slope of the graph using the Half Range method.

Calculating Activation Energy

Explaining the calculation of activation energy based on the slope of the Arenus plot and converting uncertainty in slope to uncertainty in activation energy.

Comparison with Literature Value

Discussing the comparison of experimental results with literature values, calculating percent error, rounding final results, and addressing systematic errors.

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