Intended to provide students with a review of commonly used univariate statistical approaches. Content of the class will include the review of basic statistical concepts, measures of central tendency and variability, normal distribution and sampling error, hypothesis testing, t-tests, power analysis, correlation-regression, ANOVA, factorial ANOVA, repeated measures ANOVA, ANCOVA, and multiple comparisons. Multiple regression, MANOVA, and nonparametric statistical analyses will be introduced. Emphasis will be placed on acquiring the knowledge to be able to apply and understand the statistical techniques using SPSS. Weekly hours: 3 Lecture hoursPrerequisite(s): Students enrolled in the M.Sc. or Ph.D. in Kinesiology must have completed an undergraduate course in statistics. Students not enrolled in the M.Sc. or Ph.D. in Kinesiology must receive permission of the department before registering in this course.
Intended to provide students with a review of commonly used univariate statistical approaches. Content of the class will include the review of basic statistical concepts, measures of central tendency and variability, normal distribution and sampling error, hypothesis testing, t-tests, power analysis, correlation-regression, ANOVA, factorial ANOVA, repeated measures ANOVA, ANCOVA, and multiple comparisons. Multiple regression, MANOVA, and nonparametric statistical analyses will be introduced. Emphasis will be placed on acquiring the knowledge to be able to apply and understand the statistical techniques using SPSS. Weekly hours: 3 Lecture hoursPrerequisite(s): Students enrolled in the M.Sc. or Ph.D. in Kinesiology must have completed an undergraduate course in statistics. Students not enrolled in the M.Sc. or Ph.D. in Kinesiology must receive permission of the department before registering in this course.
