REC 359 Lecture Notes - Lecture 13: Quartile, Histogram, Mull
Document Summary
Types of statistics: descriptive statistics what"s happening in the data. Bar chart- compares variables: the x-axis is more like categories. Histogram- shows distributions of variables: the x-axis is more like number ranges. Scatterplots- to examine the relationship between two variables. Box plot graphic representation of data based on quartiles: outliers- an observation/data point that is distant from other observations/data points. Still worth considering but not should not impact your data tremendously if it is only one outlier. Outliers can easily be found in box plots: inter-quartile range- finding the big chunk of people. Aka the middle 50% of the data set. Determined by finding the difference between the 3rd quartile and the 1st quartile. This is important because it helps us find our target market: inferential statistics- trying to see a relationship/make an inference on the data you found. Errors in quantitative data: standard error- a measure of the statistical accuracy of an estimate, the measure of uncertainty.
