Psychology | Statistical Techniques
K300 | 20682 | Hoffman, C

PSY     K300     Hoffman C
Statistical Techniques

Course Description:

When asked to estimate the number of sexual partners they would like
to have over the next 30 years, the average number for men surveyed
is 64, while the average for women surveyed was 3. Women and men
must be from different planets right? Wait. The most common number
of sexual partners desired over the next 30 years for both men and
women was 1. Whew! Women and men aren't so different in what they
desire for their lives. Based on the information given above which
inference is more correct:  Are men and women dramatically
different? Are they more alike than different?  How do you know
which statement to believe?

Statistical thinking involves thinking logically, critically
assessing data and the conclusions that are drawn from data. In K300
we are going to develop our statistical thinking. The COAS general
description of the course will hold true: K300 will be an
introduction to statistics and the nature of statistical data;
ordering and manipulation of data; measures of central tendency and
dispersion, elementary probability, concepts of statistical
inference and decision making, estimation and hypothesis testing. We
will learn how to conduct single sample t-tests, independent sample
t-tests; dependent-sample t-tests; correlation; analysis of
variance; and nonparametric tests.

Emphasis in this class will be placed on knowing how to conduct
statistical tests and understanding the nature of the tests. You
will get practice conducting the tests in class, on homework, and
during exams. You will be responsible for answering multiple-choice,
true-false, and short-answer questions about the nature of the tests
(assumptions and appropriate applications) on written homework and
on the exams.

You will have to purchase a course reader and homework packet from a
local copy store. The course reader will serve as your textbook, you
will need to bring it with you to class daily in order to take notes
and complete in-class computations. You will not have to memorize
formulas, formula sheets will be given you to use during each exam.
You will have to learn how to use a statistical software package
(SPSS) to do some basic analyses.