square B I U 1. IPC 3rd Nine Weeks EOU 7-924-25 Expository Writing Prompt Choose one of the expository writing prompts below and type your answers in the space provided. After conducting a lab on the density of various substances, you notice that some of your calculated densities do not match the expected values. Explain potential sources of error in the experiment and discuss how statistical analysis can help validate or refine your results. Be sure to - - organize and develop your ideas effectively - use science terms appropriately - edit your writing for grammar, mechanics, and punctuation

There are several potential sources of error in the experiment that could have caused the calculated densities to not match the expected values. Some of these sources include:<br /><br />1. Measurement errors: There could have been errors in measuring the mass and volume of the substances, which would affect the calculated density. This could be due to inaccurate measurements or improper use of measuring equipment.<br />2. Impurities: The substances used in the experiment may have contained impurities, which would affect their density. Impurities could be present in the substances or introduced during the experiment.<br />3. Temperature and pressure: The density of a substance can change with temperature and pressure. If the experiment was not conducted under controlled conditions, the density values could be affected.<br />4. Instrumental errors: The measuring equipment used in the experiment may have been inaccurate or malfunctioning, leading to incorrect density values.<br /><br />Statistical analysis can help validate or refine the results of the experiment by identifying patterns and trends in the data. By analyzing the data using statistical methods, it is possible to determine if the differences between the calculated and expected densities are significant or if they could be due to random chance. Statistical analysis can also help identify any potential sources of error in the experiment and suggest ways to improve the accuracy of the results.<br /><br />In conclusion, potential sources of error in the experiment could include measurement errors, impurities, temperature and pressure changes, and instrumental errors. Statistical analysis can help refine the results by identifying patterns and trends in the data and suggesting ways to improve the accuracy of the results.