Exam: 100 MC 150 mins
15 items/ chapter
15 lecture items
15 items hypothetical research scenarios
HB + Student ID
5 chapters on syllabus NOT CHAPTER 10
Example of the application question:
Dr. X is interested in whether or not there are differences between 10 yr olds and 5
year olds... described test , way test is administered. What is a likely confound?
What might the sources of those differences be?
R squared/ omega squared.
LECTURE 11 OUTLINE
1. The logic of inferential statistics
Inferential statistics rests on sampling theory. Chance factors that are inherent in
forming samples will always affect your results. Your results therefore must be
interpreted in that light. The purpose of inferential statistics: looking for accurate
reading to illuminate factors of chance(sampling variation). Will such a difference
change with the retraction of sampling variation. Allows us to make statements
about true differences between groups.
Comparison of 2 Methods of Math Training
Group 1 Group 2
Mean = 80% 75%
Math Textbooks for boys. Is it a significant difference? Always remember: a significant difference can be
obtained in many ways.
2. Four factors which can produce significant differences between groups.
4 Common Factors Can Produce a Significant
1) Chance more clever boys in group 1 and not group 2
2) Operation of the Independent Variable training is
actually effective. 3) Error scoring error, calculation error.
4) Fraud pressure on graduate students to publish
something. Duplication of observations in favour of
3. Sampling theory.
Significance tests don’t tell us where it came from. 1 of the 4 above. Significance testing determines
the make a