This course explores the nature of data and the challenges involved in collecting and handling it, this includes planning the collection of data necessary to examine a particular problem, manipulation of data, summarizing and describing a data set. It also covers the statistical approach for testing hypotheses, and performing data analysis using current statistical tools as a tool for description and hypotheses testing. Students will also interpret and evaluate statistical analyses used by others, design experiments, and analyze and interpret the results of experiments or observational studies. Prerequisites: There are no prerequisites for the course, but an introductory statistics course and 60 credits of post-secondary education are recommended.
This course explores the nature of data and the challenges involved in collecting and handling it, this includes planning the collection of data necessary to examine a particular problem, manipulation of data, summarizing and describing a data set. It also covers the statistical approach for testing hypotheses, and performing data analysis using current statistical tools as a tool for description and hypotheses testing. Students will also interpret and evaluate statistical analyses used by others, design experiments, and analyze and interpret the results of experiments or observational studies. Prerequisites: There are no prerequisites for the course, but an introductory statistics course and 60 credits of post-secondary education are recommended.
