Psychology and Brain Sciences | Statistical Techniques
K300 | 13686 | S. Guth

This course covers material in the areas of descriptive and
inferential statistics.  Regarding descriptive statistics, topics
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
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
three 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.  For
this reason, 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;
therefore, students who might feel the need to miss an exam for
other reasons should not enroll in this section.