Education | Intermediate Statistics Applied to Education
Y502 | 5467 | Peng


Y502 Intermediate Statistics Applied to Education
Joanne Peng, Room 4050 Education
856-8337 or PENG@INDIANA.EDU

Course Description

	This is a course designed primarily for advanced graduate students
who anticipate future applications of quantitative analyses techniques.
Topics covered in this course include a brief review of descriptive
statistics, correlational indices, comparisons of means (t-test, one-way,
and two-way analysis of variance), and regression methods.  Prerequisite of
this course is successful completion of Y520, or P501, or equivalent.

Objectives

	1.	To acquire basic skills necessary for applying statistical
principles of inference to well-defined behavioral and educational problems.

	2.	To be able to objectively evaluate manuscripts in which
analysis techniques covered in this course were used.

	3.	To carry out numerical analyses of data by hand and by SPSS
software under Windows.

Textbooks

	Hinkle, D.E., Wiersma, W. &  Jurs, S. G. (1997). Applied Statistics
for the Behavioral Sciences (4th ed.,), Boston, MA: Houghton Mifflin.

	Hinkle, D.E., Zoski, K. W. &  Cox, J. R. (1997). Applying
Statistical Concepts Workbook, Boston, MA: Houghton Mifflin.

	SPSS Inc. (1998). SPSS Base 8.0: Application Guide. Chicago, IL:
SPSS Co.

Assignments, Exams, and Labs	

	For each topic covered in this course, practice problems and
readings taken from Hinkle, Wiersma, & Jurs will be assigned.  Practice
problems are not graded because answers will be provided for you.  You will
be required instead to take three in-class exams.  The specific contents of
and instructions on exams will be announced later in class.

	You should have a valid student account on the university computing
system.  This account will facilitate our communication via the e-mail
utility and enable you to analyze data by using the SPSS software. Thus, a
limited prior knowledge of computers is assumed.  My e-mail address is PENG;
the GA assigned to this course is Carin Neitzel, her e-mail address is
CNEITZEL.  Carin's office phone and office will be announced next week.

	The attendance of each lab session is optional; but you alone are
responsible for the consequences of missing the labs.  Activities that
typically take place in the labs include, but are not limited to: (a)
clarification of previous lectures, (b) answering questions related to
practice problems, assigned readings, or any administrative aspect of the
course, and (c) instruction on basic SPSS command language and execution.
The first lab is scheduled for Wednesday, September 1st in Room 2015.
Grading System

	Student's performance in this course will be evaluated based on the
required exams.  The first two exams contribute 60% (or 30% each) toward the
final grade.  The final exam contributes 40% toward the final grade.   A
final course grade, expressed in letters, will be determined for each
student according to the following mastery levels:

	85% mastery or above  -- A					80%
to 84% -- A-
	75% to 79% -- B + 		70% to 74% -- B		65% to 69%
-- B-
	60% to 64% -- C +		55% to 59% -- C		50% to 54%
-- C-

	The letter grades should be interpreted according to the School of
Education grading policy as follows:

	A		Outstanding achievement.			B-
Fair achievement.
	A-	Excellent achievement.			C+	Not wholly
satisfactory achievement.
	B+	Very good achievement.			C	Marginal
achievement.
	B		Good achievement				C-
Unsatisfactory achievement.

	Incomplete will be given only for a legitimate reason as outlined in
the university's Academic Guide, and only after a conference between the
instructor and the student.  Throughout the course of this section, you may
contest every grade awarded to your exams or the overall course performance
within 48 hours of receiving such a grade.  Once this "statute of
limitation" has passed, it is assumed that you willingly accept the grade(s)
assigned without further dispute.