Basic Principles in Experimental Design and Statistics

Course Description

This course will review basic principles in experimental design and statistics that are useful during graduate studies and beyond.   Sessions are geared toward real-life experiences that students are likely to encounter while performing scientific research.  The course will also increase professionalism and communication skills

Learning Objectives

Upon completion of the course the student should be able to:

·         Avoid common pitfalls in research

·         Recognize the important of control groups and data replication for the correct interpretation of results

·         Design an experiment with all the appropriate control groups

·         Design a set of experiments to test a given hypothesis

·         Appraise research studies for their ability to test a hypothesis.

·         Recognize the importance of statistics in research

·         Discuss basic statistical concepts

·         Use the appropriate statistics to analyze data

·         Report statistical results appropriately

·         Present results in an effective way

·         Appraise research studies for their ability to use the appropriate statistics, report statistical results and present results

Syllabus

  • Day 2 (Monday, March 3, from 1:00 - 4:00 in IPEC 1.811 with Dr. Peterson) 
  • Day 3 (Tuesday, March 4, from 1:00 - 4:00 in IPEC 1.811 with Dr. Henderson)
    • Descriptive Statitics, Z-scores, One Sample t-tests, Independent Samples t-tests, Dependent Samples t-tests
    • Part 1
    • Part 2
    • Part 3
    • Part 4
  • Day 5 (Thursday, March 6, from 1:00 - 4:00 in IPEC 1.811 with Dr. Miller)
    • Factorial and repeated measures ANOVA
  • Day 6 (Wednesday, March 12, from 1:00 - 3:30 in IPEC 1.811 with Dr. Rheault)
    • Nonparametric Statistics
    • Test #1
  • Day 7 (Wednesday, March 26, from 1:00 - 3:00 in IPEC 1.811 with Dr. Miller)
    • Correlation
    • Simple Regression
    • Multiple Regression
  • Day 8 (Thursday, March 27, from 1:00 - 3:00 in BSB 1.360 with Dr. Miller)
    • Multivariate Analyses
      • MANOVA
      • Logistic Regression
      • Survival Analyses
  • Day 9 (Wednesday, April 9, from 1:30 - 3:30 in BSB 1.360)
    • Test #2
    • Student Presentations
  • Day 10 (Wednesday, April 16, from 9:00 - 10:00 in IPEC 1.811)
    • CANCELLED
  • Day 11 (Friday, April 18, from 9:00 - 10:00 in IPEC 1.811)
    • Student Presentations
Please note:  If possible, all of Dr. Miller's classes will be in the library computer lab.  We are currently trying to see if that class is available.

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