SUMMARY
The discussion centers on calculating Planck's constant using stopping voltages from various wavelengths of light, with a reported value of 3E-15 eV*s, compared to the standard value of 4.136 eV*s. The participant seeks guidance on improving their regression analysis by accounting for error in their data, particularly through the use of Excel for error bars and linear regression. Suggestions include excluding outliers and documenting the rationale in the lab report, as well as addressing potential methodological issues that may affect data consistency.
PREREQUISITES
- Understanding of the photoelectric effect and its equations, specifically V=hv-W.
- Familiarity with linear regression analysis and its application in experimental data.
- Proficiency in using Microsoft Excel for data analysis, including error bars and regression tools.
- Knowledge of uncertainty propagation, particularly converting uncertainty in wavelength to uncertainty in frequency.
NEXT STEPS
- Learn how to perform weighted linear regression in Excel to account for varying error in data points.
- Research methods for identifying and handling outliers in experimental data analysis.
- Study uncertainty propagation techniques, especially converting wavelength uncertainty to frequency uncertainty.
- Explore best practices for documenting data manipulation and analysis in scientific reports.
USEFUL FOR
Students and researchers in physics, particularly those conducting experiments related to the photoelectric effect and analyzing data using Excel. This discussion is beneficial for anyone looking to improve their data analysis skills and understand the implications of error in experimental results.