CHM211H5 Lecture Notes - Lecture 2: 5,6,7,8, Approximation Error, Observational Error
Document Summary
Mean: sum of data divided by the total number of data. Take more measurements, n should not equal 1. Median: arrange data in acs or desc order, median is the middle number. Mean and median help us establish the presence of an outlier. 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 (even n) The outlier may occur because of error, human or mechanical. You will be marked based on precision and accuracy in your lab results. Accuracy: how close the value of your data is to the true value of the data. Doesn"t change average, spreads the data evenly on all sides and axis. Gross error: makes for outliers, falls under systematic error. Method error: dealing with something that maybe reacting with things you didn"t account for; slow reactions, instability of reactant and products. Constant error: error independent of size of sample being analyzed; greater consequence as the sample size decreases.