I don't know dipsht, why don't you get off your lazy as and ask your teacher dammt
parallax error - reading of volume of burette
The most common sources of systematic error in a titration experiment are errors in calibration. The concentrations of substances used could be incorrect.
accuracy of the pH paper. my school used pH indicator paper, and it only gave us rough estimates of the pH based on the color the strip would turn. so instead of 4.36, we got 4. this caused a lot of percent error and it also caused the pKa to be less accurate, which means the Ka was less accurate.
Without more details this is a shot in the dark but I assume that you have the moles and weight of the compound. You then calculated the molar mass from these numbers. The sources of error with doing this experimentially is that you may have lost some of the sample in transferring, you may have weighed the sample incorrectly, and you could have made mistakes in calculations (all human errors).
Measurements are off because the tool used isn't precise. Temperature and humidity may affect the results. Errors like miscalculations and reading scales incorrectly don't count as a lab error and would be a human mistake. For a formal lab, you shouldn't include these types of errors on your part.
What are the sources of error in a solubility lab containing potassium crystal
parallax error - reading of volume of burette
A compounded error is an error caused by something which is unforeseen, such as extreme weather conditions.
there are a couple
What are some precautions and source of error in the principle of moments
The most common sources of systematic error in a titration experiment are errors in calibration. The concentrations of substances used could be incorrect.
Survey error is the extent to which findings from the survey sample differ from those of the population of interest. The large nationally representative surveys discussed here are designed to minimize error. Nevertheless, it is impossible to eliminate all of the multiple potential sources of error. Investigators must identify and consider how potential survey error can bias the results of their analyses. Statistical strategies can minimize the impact of these potential sources of error on study findings.
Are you dumb? Give values.
Random error, measurement error, mis-specification of model (overspecification or underspecification), non-normality, plus many more.
this is important to be her formula is correct.
stop watch
taking the measurements