HTHSCI 2S03 Lecture Notes - Lecture 2: Descriptive Statistics, Squared Deviations From The Mean, Quartile
Document Summary
Lecture 2: descriptive statistics and intro to probability. Descriptive statistics: ultimate goal in data summarization is to calculate one or two numbers that in some was convey important information about the data. Such numbers that are used to describe data are called descriptive measures. A descriptive measure computed from a sample is called a statistic, common measures: mean of sample, number of observations in sample. A descriptive measure computed from a population is called a parameter. 2 important groups of descriptive measures are measures of central tendency and measures of dispersion. Measures of central tendency convey info regarding average value of sets of values: extreme numbers in data set) Mean: sum of a set of numbers divided by the number or numbers (can be highly affected by. Median: divides the dataset into 2 equal parts (middle of values) - the median of the dataset is the. Mode: the value that occurs most frequently.