PSY 2106 Lecture Notes - Lecture 3: Interquartile Range, Binomial Distribution, Central Tendency

• School: University of Ottawa
• Department: Psychology
• Course: PSY 2106
• Professor: Victor Emerson

Document Summary

Central tendency: a statistical measure to determine a single value, usually located in the center of a distribution that is most typical. Representative: provides unbiased estimate of distribution of scores, minimizes errors involved in characterizing data. Exam: plot data and make frequency distributions and describe. Measures of central tendency: purpose = characterize sample in convenient way, always think which measure conveys most valid info , mean: the sum of all observations divided by # of observations. Sum of deviations around mean defined as 0. Sample mean = x-bar (x with a line over it) Binomial distribution: when you have more than 2 modes. Scores: 10, 10, 30, 50, 50 mode = 10&50. Exam: which central tendency is most representable of the data. How to describe data: list: n -> # of scores shape. Measure of central tendency (mean, median, mode) variability -> range of scores.