Section 1 Lectures

January 8, Tue: intro to course & review of syllabus

January 10, Thurs.:  why take stats; definition of stats; pop vs. sample; estimates vs. parameters

January 15, Tue:  misleading statistics; scales of measurement; nominal scale

January 17, Thurs.:  nominal, ordinal, interval, ratio; histograms and polygons

January 29, Tuesday:  median & outliers; mode; range, mean deviation; absolute mean deviation; variance

January 31, Thursday:  variance; standard deviation; properties of frequency distributions; biased/unbiased estimates