KP 620
Stat Reasoning & Exp Analysis
The principles used in the design of experiments and the analysis of experimental data are examined, with the emphasis on multiple regression and complex analysis of variance techniques. Strategies for decision making in planning and conducting statistical analyses are presented, including sample size, statistical power, violations of variance assumptions, error terms and related issues. Experimental designs for kinesiology and health science are discussed.
Exclusions: Not available for credit to students holding WLU credit for KP603.
Notes: This course includes 1.5 hour of laboratory time per week.
The principles used in the design of experiments and the analysis of experimental data are examined, with the emphasis on multiple regression and complex analysis of variance techniques. Strategies for decision making in planning and conducting statistical analyses are presented, including sample size, statistical power, violations of variance assumptions, error terms and related issues. Experimental designs for kinesiology and health science are discussed.
Exclusions: Not available for credit to students holding WLU credit for KP603.
Notes: This course includes 1.5 hour of laboratory time per week.
The principles used in the design of experiments and the analysis of experimental data are examined, with the emphasis on multiple regression and complex analysis of variance techniques. Strategies for decision making in planning and conducting statistical analyses are presented, including sample size, statistical power, violations of variance assumptions, error terms and related issues. Experimental designs for kinesiology and health science are discussed.
Exclusions: Not available for credit to students holding WLU credit for KP603.
Notes: This course includes 1.5 hour of laboratory time per week.
