SE101 Lecture Notes - Central Tendency, Standard Deviation, Minimax

• School: University of Waterloo
• Department: Software Engineering
• Course: SE101
• Professor: Czarnecki

Document Summary

Statistic = parameter that sorts data despite any random uncertainties. Sample distribution = function showing frequency of different observations within a sample. Central tendency = reduce randomness from a sample, estimate true value in a sample. Measures of spread = estimate of uncertainty within sample. Relative standing = where a specific measurement stands within the entire sample. Mean = sum of values / number of values. Median = middle value when data is sorted (less susceptible to outliers) Division of sorted data into 4 buckets, 10 buckets, 100, buckets, respectively. Convey the frequency of occurrence of data values. Independent measurements: symmetry, small errors, mode = mean, derivative of the error distribution function is 0 at the mode.