Introduction to Statistics
Description
An introduction to the analysis of data from real life situations. Covers study design, descriptive and inferential statistics. Topics include probability, t-tests, regression, Chi-square tests, analysis of variance. Emphasis is in the foundation of statistical inference and practical application of statistical methods using statistical software. NOTE Also offered online, consult Arts and Science Online (Learning Hours may vary). Learning Hours: 120 (36 Lecture, 12 Tutorial, 72 Private Study) Requirements: Prerequisite None. Exclusion Maximum of one course from: BIOL 243 /3.0; CHEE 209 /3.5; CISC 171 /3.0; COMM 162 /3.0; ECON 250 /3.0; GPHY 247 /3.0; HSCI 190 /3.0; KNPE 251 /3.0; NURS 323 /3.0; POLS 285 /3.0; POLS 385/3.0*; PSYC 202 /3.0; SOCY 211 /3.0; STAM 200 /3.0; STAT 161 /3.0; STAT 263 /3.0. One-Way Exclusion May not be taken with or after STAT 269 . Course Learning Outcomes: - Identify the study design for a given question, and define the accompanying statistical population, sample, and observation unit. - Distinguish descriptive statistics from inferential statistics and define the role of each in quantitative analyses. - Compute descriptive statistics for a dataset using contemporary software and create the appropriate visualizations. - Identify and conduct the appropriate statistical test for a question and dataset using contemporary software. - Connect the results of statistical tests to the scientific question to draw appropriate conclusions. - Communicate the results of statistical analyses in written form. Assessment/Exam Context: Course assessment and examinations vary by course; Queen's notes that eligible exchange students whose first language is not English may receive extra final-exam time. Exchange Registration Note: Arts and Science courses are open to exchange students subject to prerequisites and space. Most courses should be in Arts and Science; other faculties may be limited. Education, Medicine, and Nursing are not open to incoming exchange enrolment.
Preview the 5 closest equivalencies already indexed in our system
BIOL 243 has possible credit equivalents including STAT 292 at Victoria University of Wellington, staff reviewed.