

Course ID:  ERSH 4300/6300. 3 hours. 
Course Title:  Applied Statistical Methods in Education 
Course Description:  Techniques for describing and summarizing data for educational research studies. Applications of the standard normal distribution and the use and interpretation of standard scores. Inferential statistics for one and two population studies including means, proportions, and correlations. 
Oasis Title:  Applied Statistical Methods Ed 
Duplicate Credit:  Not open to students with credit in ERSH 4300E or ERSH 6300E 
Semester Course Offered:  Offered every year. 
Grading System:  AF (Traditional) 

Course Objectives:  The overall goal of the course is to present an introduction to statistics that
emphasizes working with data and statistical ideas. The main objectives of the
course are:
1. To understand data.
2. To understand inference.
3. To apply descriptive and inferential statistics techniques.
In order to achieve the overall goal, the course will involve readings of the text,
a series of assignments to reinforce the key concepts, a set of computer exercises,
and three examinations. Most class sessions will include illustration of key
concepts developed through assigned readings, identification and discussion of
these concepts in actual research settings, and analysis and discussion of selected
problems involving these concepts. 
Topical Outline:  Statistical Data (Objective 1)
Examining Distributions
Displaying Distributions with Graphs
Describing Distributions with Numbers
The Normal Distribution
Examining Relationships
Scatterplots
Correlation
LeastSquares Regression
Cautions about Correlation and Regression
Relations in Categorical Data
Producing Data
Designing Samples
Designing Experiments
Statistical Inference (Objective 2)
Probability and Sampling Distribution
Randomness
Probability Models
Sampling Distributions
Probability Theory
General Probability Rules
The Binomial Distributions
Conditional Probability
Introduction to Inference
Estimating with Confidence
Tests of Significance
Making Sense of Statistical Significance
Error Probabilities and Power
Inference for Distributions
Inference for the Mean of a Population
Comparing Two Means
Inference for Population Spread
Inference for Proportions
Inference for a Population Proportion
Comparing Two Proportions
Inference for TwoWay Tables
TwoWay Tables
The ChiSquare Test
OneWay Analysis of Variance: Comparing Several Means
The Analysis of Variance F Test
Some Details of ANOVA
Inference for Regression
Inference about the Model
Inference about Prediction
Checking the Regression Assumptions
Applications (Objective 3)
Assignments
Examinations
Computer Lab
BPS 2.0 CD and Internet
SPSS
SAS 
Course ID:ERSH 4300E/6300E. 3 hours.
Course Title:Applied Statistical Methods in EducationCourse
Description:Techniques for describing and summarizing data for educational
research studies. Applications of the standard normal
distribution and the use and interpretation of standard scores.
Inferential statistics for one and two population studies
including means, proportions, and correlations.
Oasis Title:Applied Statistical Methods Ed
Duplicate Credit:Not open to students with credit in ERSH 4300 or ERSH 6300
Nontraditional Format:This course will be taught 95% or more online.
Grading System:AF (Traditional)
Course Objectives:The overall goal of the course is to present an introduction to
statistics that emphasizes working with data and statistical
ideas. The main objectives of the course are:
1. To understand data.
2. To understand inference.
3. To apply descriptive and inferential statistics techniques.
In order to achieve the overall goal, the course will involve
readings of the text, a series of assignments to reinforce the
key concepts, a set of computer exercises, and three
examinations. Most class sessions will include illustration of
key concepts developed through assigned readings,
identification and discussion of these concepts in actual
research settings, and analysis and discussion of selected
problems involving these concepts.
Topical Outline:Statistical Data (Objective 1)
Examining Distributions
Displaying Distributions with Graphs
Describing Distributions with Numbers
The Normal Distribution
Examining Relationships
Scatterplots
Correlation
LeastSquares Regression
Cautions about Correlation and Regression
Relations in Categorical Data
Producing Data
Designing Samples
Designing Experiments
Statistical Inference (Objective 2)
Probability and Sampling Distribution
Randomness
Probability Models
Sampling Distributions
Probability Theory
General Probability Rules
The Binomial Distributions
Conditional Probability
Introduction to Inference
Estimating with Confidence
Tests of Significance
Making Sense of Statistical Significance
Error Probabilities and Power
Inference for Distributions
Inference for the Mean of a Population
Comparing Two Means
Inference for Population Spread
Inference for Proportions
Inference for a Population Proportion
Comparing Two Proportions
Inference for TwoWay Tables
TwoWay Tables
The ChiSquare Test
OneWay Analysis of Variance: Comparing Several Means
The Analysis of Variance F Test
Some Details of ANOVA
Inference for Regression
Inference about the Model
Inference about Prediction
Checking the Regression Assumptions
Applications (Objective 3)
Assignments
Examinations
Computer Lab
BPS 2.0 CD and Internet
SPSS
SAS
Syllabus: