COURSE OBJECTIVES:

Students will be able to:

• read and interpret graphical and tabular displays of data, and make estimations

• create tables, charts, graphs, and histograms to represent data graphically, using various tools such as spreadsheets and graphing calculators

• evaluate and interpret descriptive statistics that describe a data set, including measures of central tendency (e.g. mean, median) and dispersion (e.g. range, standard deviation)

• calculate empirical probabilities of events

• compute and interpret z-scores for normally-distributed data, and use them to find probabilities 

• describe the relationship between two variables graphically (scatterplot) and establish an association between them

• create and interpret linear models of data

• work with linear regression models using calculators and/or spreadsheets 

• use the techniques and tools learned in this course to represent quantitative data encountered in other courses or found in public databases