Introduction: This course is an introduction to descriptive and inferential statistics.
Prerequisite: The only prerequisite is knowledge of mathematics at the high school algebra level. Students who have forgotten this will be given opportunity at the beginning of the course to review this material.
Examinations: There will be four multiple-choice exams in the course, each with 50 items. Each exam will include items over the concepts for the units covered since the previous exam. Exam five will be an open-book examination in which the SPSS computer program must be used to analyze a set of data and interpret the results. Exam five must be passed with a grade of B or higher (73%+) to receive a passing grade in the course. All exams must be done independently with no assistance from others. Exams 1-4 must be taken in a proctored arrangement.
Study Hints: To prepare for the concepts questions, practice items have been prepared for each unit of the course which are available on disk. The items taken on the computer are similar to those on the exams and are arranged according to the objectives they are classified under in the syllabus. The computer will choose items randomly for each objective from a pool of available items. Students should plan on studying these items until they reach a level of achievement equal to or slightly higher than the score they want to make on the exam to be taken.
To prepare for the exam five, a practice exam will be distributed.
For some problems, computer exercises have been developed to assist you in learning them. They are listed under each unit in this outline and will be mentioned in class when they are to be used.
Grades: Each of the five exams will be equally weighted (20% each). Each exam will be available in multiple forms which can be taken as needed. Your score on each exam will be the higher of:
the last attempt on each exam
an average of all forms taken
A 85+% A- 81-84% B+ 77-80% B 73-76% B- 69-72% C+ 65-68% C 61-64% C- 57-60% D 50-56% F -49%
Course completion: The course can be completed in two ways:
During summer term III - all exams completed by July 20
DG (deferred grade) given for summer term - exams 1-4 completed by Dec. 14, 2001 - exam 5 must be completed on-campus by July 20
Textbooks: Hinkle, D.E., Wiersma, W., and Jurs, S.G., Applied Statistics for the Behavioral Sciences, 4th edition, Houghton Mifflin Co., 1998.
|M July 2||9:00-9:55||Class overview|
|10:05-11:00||Valuegenesis class research|
|2:20-3:15||Frequency Distributions and Graphs||2||2||1-4|
|T July 3||9:00-9:55||5-8|
|11:10-12:05||Percentiles, Percentile Ranks, and Central Tendency||3||3||1-5|
|Th July 5||9:00-9:55||SPSS|
|10:05-11:00||Variability, Standard Scores, and Additional Descriptive Techniques||3||4||Exam 1|
|F July 6||9:00-9:55||The Normal Curve Model and Probability||4, 6||5||18-19|
|M July 9||9:00-9:55||Exam 2|
|10:05-11:00||Confidence Intervals and Hypothesis Testing||6-11||6||1-9|
|T July 10||9:00-9:55||27-31|
|W July 11||9:00-9:55||Exam 3|
|10:05-11:00||Correlation and Regression||5, 16||7||1-4|
|Th July 12||9:00-9:55||Power||12||8||1-3|
|F July 13||9:00-11:00||Exams||Exam 5|
|2:20-4:20||Exam 5 Retake (optional)|