MOVESCI 250 Chapter 3: Descriptive Statistics

• School: U of M
• Department: Movement Science
• Course: MOVESCI 250
• Professor: Edward Pitchford

Document Summary

Plan for data collection: measurements obtained must be assigned to the correct subjects, all relevant conditions, any circumstances that might affect accuracy. Visualizing distributions: histogram graphic representation of data, frequency distributions. Degree to which a distribution changes from central symmetry. Tail to the left, negative skew: kurtosis. Mesokurtic: describes the height of a distribution. Platykurtic: flatter distributed due to more scores being more scattered. Mode: most frequently occurring score, bimodal distributions have 2 peaks. Median: the 50th percentile, =n+1 / 2. N=total number of scores: this finds the location in a data set, the median is a point, but it does not necessarily need to be a score. The mean (x : a point, not a score, sensitive to every value. Re is the exclusive range: ri = (h-l)+1. Semi-interquartile range: half the distance between the 25th and 75th interquartile range. Population variance: uses every score available, deviation: how far away every score is from the mean.