﻿ EDUR 8131
 EDUR 8131 Educational Statistics 1 (16 Week Format) Fall 2012 Instructor: Bryan W. Griffin (bwgriffin@GeorgiaSouthern.edu) My personal web pages: http://coe.georgiasouthern.edu/foundations/bwgriffin/

Announcements ---

Notes 9a -- ANOVA -- videos available.

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

1. Syllabus
2. Creating PDF Files
4. Course Calendar
5. Reporting statistical results in APA style
6. Sample Test 1 (material through one-sample t-test)
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. Test 1: Covers content found in Notes 1, 2, 3, and 4. Test 1 may be posted as early as 9/18 or 9/25.
9. Test 2: Covers content found in Notes 1 through 7. Test 2 may be as early as 10/16 or 10/23.
10. Test 3: Covers all content found in Notes 1 through 9d. Test 3 may be posted by 11/27 and responses due 12/11.
11. Exercises
1. Central Tendency, Variability, Graphical Displays (with answers)
3. Z scores, Percentile Ranks, and Z test (with answers)
4. One and Two Samples t-test  (answers)
6. One Sample, Two Samples, and Correlated t-tests (with answers)
9. ANOVA (answers note this is a Word Document)
10. Regression (see regression notes)
1.  Notes and Videos
1. Notes 1 Descriptive Statistics
2. Notes 2 Normal Distribution and Standard Scores
3. Notes 3 Statistical Inference
4. Notes 4 Hypothesis Testing and One Sample Z Test
5. Notes 5a One Sample t-test (notes displayed in videos linked below)
6. Notes 5b Independent Samples t-test (notes displayed in videos linked below)
7. Notes 5c Correlated Samples t-test (notes displayed in videos linked below)

8. Notes 7a Chi-square Goodness-of-fit
9. Notes 7b Chi-square Test of Association
10. Notes 8b Multiple Regression
11. Notes 9 ANOVA (revised Fall 2012)
13. Notes 9d ANCOVA
Sample Data
1. Types of Statistical Procedures and Their Characteristics: PDF Table and written Step-by-step Procedure
2. 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 (these two links will soon be lost); 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
1. On-line Statistical Resources
2. Course Assessment Questionnaire (may be used to collect data to illustrate statistical analysis)

 Topic Moore & McCabe 5th ed. Moore, McCabe, & Craig 6th ed. Moore, McCabe, & Craig 7th ed. 1. Measurement (scales, variables) Chapter 1 Chapter 1 Chapter 1 2. Hypotheses Pages 402-403 Pages 374-376 Pages 362-364 3. Overview of Descriptive and Inferential Statistics Chapter 3 (sampling) Chapter 3 (sampling) Chapter 3 (sampling) 4. Displaying Data with Graphs Chapters 1, 2 Chapters 1, 2 Chapters 1, 2 5. Percentile Ranks Chapter 1 Chapter 1 Chapter 1 6. Central Tendency Chapter 1 Chapter 1 Chapter 1 7. Variability Chapter 1 Chapter 1 Chapter 1 8. Standard Scores Chapter 1 Chapter 1 Chapter 1 9. Normal Curve and Probability Chapter 1 Chapter 1 Chapter 1 10. Hypothesis Testing Chapter 5, 6 Chapter 5, 6 Chapter 5, 6 11. One sample z-test Chapter 6 Chapter 6 Chapter 6 12. t-test (one-sample, independent samples, correlated) Chapter 7 Chapter 7 Chapter 7 13. Correlation (Pearson r) Chapter 2, 10 Chapter 2, 10 Chapter 2, 10 14. Chi-square (c2) (test for association) Chapter 9 Chapter 9 Chapter 9 15. Regression Chapter 2, 10, 11 Chapter 2, 10, 11 Chapter 2, 10, 11 16. ANOVA Chapter 12 Chapter 12 Chapter 12 17. ANCOVA (time permitting) --- --- ---

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

Session 1 (8/21): 5pm to 7:45pm

1. Syllabus
2. Notes 1

Session 2 (8/28): 5pm to 7:45pm

1. Resume Notes 1
2. Notes 2

Session 3 (9/4): 5pm to 7:45pm

1.  Notes 2
2. Notes 3

Session 4 (9/11): 5pm to 7:45pm

1. Notes 3
2. Notes 4

Session 5 (9/18): 5pm to 7:45pm

1. Notes 4
2. Notes 5

Test 1 posted sometime after Session 5 (assuming Notes 4 is completed, otherwise Test 1 posted after Session 6)

Session 6 (9/25): 5pm to 7:45pm

1. Notes 5
2. Notes 6

Session 7 (10/2): 5pm to 7:45pm

1. Notes 6
2. Notes 7

Session 8 (10/9): 5pm to 7:45pm

1. Notes 7
2. Notes 8a

Session 9 (10/16): 5pm to 7:45pm

1. Notes 8a

Test 2 posted sometime after Session 7 or 8 (once coverage of chi-square is complete [Notes 7])

Session 10 (10/23): 5pm to 7:45pm

1. Notes 8a
2. Notes 8b

Session 11 (10/30): 5pm to 7:45pm

1. Notes 8b
2. Notes 9

Session 12 (11/6): 5pm to 7:45pm

1. Notes 8b
2. Notes 9

Session 13 (11/13): 5pm to 7:45pm

1. Notes 9

Thanksgiving Break 11/13

Session 14 (11/20): 5pm to 7:45pm

1. Notes 9
2. Notes 9d

Session 15 (11/27): 5pm to 7:45pm

1. Notes 9d

Session 16? (12/4): 5pm to 7:45pm

1. As needed.

Test 3 will be posted sometime around 11/27

Test 3 responses due 12/11