EDUR 8131
Educational Statistics 1
(16 and 4 Week Formats)

Spring 2017

Instructor: Bryan W. Griffin (bwgriffin@GeorgiaSouthern.edu)
My personal web pages:
http://www.bwgriffin.com


Course Index (e.g., tests, activities, reading and other material to review for each class session)

  1. Syllabus - see link below in Course Calendar for Week 1.
  2. Course Calendar - see below.
  3. Readings are found in Course Calendar.
  4. Creating PDF Files
  5. Reporting statistical results in APA style (Word Documents)
  6. Sample Test 1 (material through one-sample t-test; note, however, for this semester Test 1 does not cover one-sample t-test, that is found on Test 2)
  7. Sample Test 2 (shows examples of data analysis section of Test 2 with t-tests, correlation, and chi-square; Sample Test 2 Answers)
  8. SPSS with MyDevice at Georgia Southern: How to get started  
  9. Test 1: Covers content found in
  10. Test 2: Covers content found in
  11. Test 3: Covers all content found in
  12. Exercises
  13. Types of Statistical Procedures and Their Characteristics: PDF Table and written Step-by-step Procedure 
  14. SPSS Tutorials (obtained from various on-line sources: Dr. McKnight at U. Oklahoma,  Dr. Elvers at U. of Dayton, Guang-Hwa Change at Youngstown State U.)
    1. Entering data into SPSS (variable labels, value labels, setting variable as numeric, etc.)
              Data Entry A, Data Entry B
    2. Frequencies/Explore Commands (including descriptive statistics, box plots, histograms, stem-and-leaf, etc.)
              Frequencies A, Frequencies B, Stem and Leaf, Various Graphical Displays
    3. t-tests (one sample, independent sample, and correlated samples)
              t-tests, independent samples t-tests
    4. Correlation 
              Correlation A, Correlation B, For scatter plots see Various Graphical Displays above
    5. Chi Square
              Goodness of Fit  and Test of Association; other examples:  Goodness of Fit A, Goodness of Fit B (note this is a Word document),  Test of Association
    6. Regression 
              Regression A, Regression B
    7. ANOVA
              ANOVA A (using ONEWAY command), ANOVA B (using ONEWAY command), ANOVA C (using UNIVARIATE command)
    8. ANCOVA
              ANCOVA A
  15. On-line Statistical Resources
  16. Links to on-line statistical calculators: http://home.ubalt.edu/ntsbarsh/Business-stat/otherapplets/SampleSize.htm#rmenu 
  17. Recorded Instructional Chats and Chat Notes (Please note: These recorded chats and notes were offered several semesters ago; some may find these chats and notes helpful.)

 

Course Calendar (tentative projection of content coverage; will be revised throughout term)

Fall and Spring Semester   Summer Semester

Week 1 (Jan 9)

  1. Syllabus
  2. Notes 1 Descriptive Statistics   

 

 

Week 1 (May 16):

  1. Syllabus 
  2. Notes 1: Descriptive Statistics
  3. Notes 2: Normal Distribution and Standard Scores
  4. Notes 3: Statistical Inference

Week 2 (Jan 16)

  1. Notes 1: Descriptive Statistics - continue as needed.
  2. Notes 2: Normal Distribution and Standard Scores
 

Week 2 (May 23):

  1. Notes 4: Hypothesis Testing and One-sample Z test
  2. Notes 5a: One-sample t-test
  3. Notes 5b: Independent Samples t-test

Test 1 covers Notes 1 through 4 and will be posted May 19 and due May 27.

 

Week 3 (Jan 23)

  1. Notes 2: Normal Distribution and Standard Scores - continue as needed.
  2. Notes 3: Statistical Inference
  3. Place holder, ignore.
 

Week 3 (May 30):

  1. Notes 5c: Correlated Samples t-test
  2. Notes 6: Correlation Coefficient, Pearson's r
  3. Notes 7a and 7b: Chi-square Tests

Test 2 posted May 30 and due June 6. Test 2 cover material through Chi-square tests (Notes 7b)

 

Week 4 (Jan 30)

  1. Notes 3: Statistical Inference - continue as needed.
  2. Notes 4: Hypothesis Testing and One-sample Z test
  Week 4 (June 6):
  1. Notes 8a: Simple Regression
  2. Notes 8b: Multiple Regression

Week 5 (Feb 6)

  1. Notes 4: Hypothesis Testing and One-sample Z test - continue as needed.
  2. Notes 5a: One-sample t-test
  3. Notes 5b: Independent Samples t-test
  4. Placeholder, ignore.
 

Week 5 strong>(June 13):

  1. Notes 9: ANOVA

TeTest 3 posted June 9 and due June 16

Test 1 posted about Feb 8 and due Feb 15. Test 1 covers Notes 1 through 4.

 

   

Week 6 (Feb 13)

  1. Notes 5b: Independent Samples t-test  - continue as needed.
  2. Notes 5c: Correlated Samples t-test
  3. Notes 6: Correlation Coefficient, Pearson's r 
  4. Placeholder, ignore.
   

Week 7 (Feb 20)

  1. NoteNotes 6: Correlation - continue as needed.
  2. Notes 7a: Chi-square Goodness-of-fit
  3. Placeholder, ignore.

 

   

Week 8 (Feb 27)

  1. Notes 7b: Chi-square (test of association)
  2. Notes 8a: Simple Regression
  3. Placeholder, ignore.
   
     

Week 9 (March 6)

  1. Notes 8Notes 8a: Simple Regression - continue as needed.

Test 2 posted about March 1 and due March 8. Test 2 cover material through Chi-square tests (Notes 7b)

 

March 13 - 17 Spring Break

 

   

Week 10 (March 20)

  1. Notes 8Notes 8a: Simple Regression - continue as needed.
  2. Notes 8b: Multiple Regression
  3. Placeholder, ignore.
   

Week 11 (March 27)

  1. Notes 8bNotes 8b: Multiple Regression - continue as needed.
  2. Notes 9: ANOVA
  3. Placeholder, ignore.
   

Week 12 (April 3)

  1. Notes 8b: Multiple Regression - continue as needed.
  2. Notes 9: ANOVA - continue as needed.
   

Week 13 (April 10)

 Notes 9d: ANCOVA may not be covered this semester; ignore for now. If covered, an announcement will be made and new material will be posted below.

  1. Notes 9: ANOVA  - continue as needed.
  2. Notes 9d: ANCOVA Sample Data
  3. Placeholder, ignore.
   

Week 14 (April 17):

  1. Notes 9: ANOVA - continue as needed.
  2. Notes 9d: ANCOVA - continue as needed.
     

Week 15 (April 24)

  1. Notes 9d: ANCOVA  - continue as needed.
   

Test 3 will be posted about April 19 and due May 1.

   


Copyright 2005, Bryan W. Griffin

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