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