STA-1013 Lecture Notes - Lecture 2: Decimal Mark, Absolute Difference, Approximation Error
Document Summary
Consist of values that can be placed into non-numerical categories: quantitative data. Consist of values representing counts or measurements. Continuous data: continuous- can take on any value in a given interval, discrete- can take on only particular, distinct values, not other values in between. Interval level of measurement- intervals are meaningful but ratios are not: ratio level of measurement- both intervals and ratios are meaningful. Size of error: absolute vs relative: absolute error- describes how far a claimed or measured value lies from the true value. Absolute error= claimed or measured value true value: relative error- compares the size of the absolute error to the true value. Relative error= absolute error/true value x 100% Describing results: accuracy and precision: accuracy- describes how closely a measurement approximates a true value. An accurate measurement is close to the true value: precision- describes the amount of detail in a measurement.
