Coursework Entry

# EDUC 7215

EdD Home

Syllabus_EDUC7215_Spring2025.pdf

Resources

  • Statistics_Review.pdf
  • registration-sas-studio.pdf
  • examples of statistical flow charts.pptx
  • Professor Dean Coble

    Box and Whisker Diagram

    BoxAndWhiskerDiagram.bmp

    Schedule

    1. 1/21-26 Introduction to Statistical Concepts (chapters 1-2).
    2. 1/27-2/2 Introduction to SAS Studio (chapters 3-5).
    3. 2/3-9 Descriptive Statistics (chapter 6).
      Assignment 1 - EDUC 7215 (due 2/17 by 11:59pm)
    4. 2/10-16 One-Sample Tests (chapter 7).
      EDUC 7215 Assignment 2 (due 2/17 by 11:59pm)
    5. 2/17-23 Two-Sample Tests (chapter 8).
      EDUC 7215 Assignment 3 (due 2/24 by 11:59pm)
    6. 2/24-3/2 Analysis of Variance (chapter 9).
      EDUC 7215 Assignment 4
    7. 3/3-9 Analysis of Variance, Continued (chapter 10).
      EDUC 7215 Assignment 5 (due 3/10 by 11:59pm)
    8. 3/10-16 Correlation Analysis (chapter 11).
      EDUC 7215 Assignment 6 (due 3/17 by 11:59pm)
    9. 3/17-22 Linear Regression Analysis (chapter 12).
      EDUC 7215 Assignment 7 (due 3/22 by 4:59pm, start of spring break)
    10. 3/22-30 SPRING BREAK
    11. 3/31-4/6 Linear Regression Analysis, Continued (chapter 12).
      EDUC 7215 Assignment 8 (due 4/7 by 11:59pm)
    12. 4/7-13 Binary Logistic Regression Analysis (chapter 13).
      No assignment due this week
    13. 4/14-20 Binary Logistic Regression Analysis, Continued (chapter 13).
      Educ 7215 Assignment 9 (due 4/21 by 11:59pm)
    14. 4/21-27 Categorical Data Analysis (chapter 14).
      No assignment due this week
    15. 4/28-5/4 Categorical Data Analysis, Continued (chapter 14).
      Educ 7215 Assignment 10 (due 5/5 by 11:59pm)
    16. 5/5-11 Week before finals.
      No assignment due this week
    17. 5/12-17 Finals Week.
      Submit EDUC 7215 final assignment(due 5/17 by 11:59pm)

      Slides

  • EDUC7215_Week1_Lecture.pptx
  • EDUC7215_Week2_Lecture.pptx
  • EDUC7215_Week3_Lecture.pptx

Assignments

  1. Assignment 1 - EDUC 7215

    Outline of Statistical Hypothesis Test

    This is the general outline of a statistical hypothesis test. You should have all of these components anytime you conduct an one of these tests.

  2. Research Question
  3. Descriptive Statistics & Normality Assumption
  4. Ho: Null hypothesis Ha: Alternative Hypothesis
  5. Type 1 error rate = 0.05
  6. Decision Rule: If p-value < 0.05 then reject Ho, otherwise do not reject Ho
  7. Conclusion and Interpretation