Psychology | Statistical Techniques
K300 | 20474 | Guth
This course covers material in the areas of descriptive and
inferential statistics. Topics in descriptive statistics include the
basics of organizing and presenting data, measures of central
tendency, measures of variability and measures of location within a
distribution, effects of linear transformations, the normal
distribution, elements of probability and regression and correlation.
Topics in inferential statistics include the sign (binomial) test,
z-tests and t-tests on samples from single populations and on samples
from two independent populations, one-way, two-way and three-way
analyses of variance, chi square and other non-parametric tests.
Course grades are based entirely on four exams plus an optional
final. Grades are not curved, with 90% being an "A", 80% a "B," etc.
Daily attendance and homework assignments are not monitored, but are
absolutely essential for understanding the course material and for
passing the exams. Important course material starts on class day one,
and, as is true for the entire semester, not all information presented
in class can be found in the text. For this reason, it is essential to
attend every class, and to take careful and complete notes. Students
on the waiting list must come to all classes, even if
they are not certain that they will be officially admitted. If it is
not possible for such students to attend all classes, they should see
Prof. Guth before the first class. He will probably be able to offer
a solution to the problem. Also, make-up tests are almost never
offered, and only documented illnesses, or other documented true
emergencies, allow for an "Excused" exam grade (which cannot be made
up, and which will mean that the “optional” final will become
required.). Early exams will be allowed only for students who provide
formal justification based upon officially scheduled University
activities. Students who might feel the need to miss an exam for other
reasons should not enroll in this class.