RESM 615 APPLIED STATISTICAL METHODS 1 / PHFN 620 BIOSTATISTICS

About the Course

An introduction to descriptive and inferential statistics. Concepts covered in this course include
measures of frequency, central tendency, and variation, transformed scores, normal
distribution, central limit theorem, hypothesis testing, statistical power, and sampling. Students
should be familiar with different kinds of distributions, such as t, f, (ANOVA), and chi-square,
and other basic measurements in statistics, such as bivariate correlation (Pearson product-
moment correlation coefficient), Spearman rank order correlation coefficient, simple
regression, and introduction to multiple regression. The course also includes an introduction to
non-parametric statistics. Students are expected to develop proficiency in using a major
statistical package. Computer laboratory fees apply. If more than 5 years have elapsed since
RESM 615 Statistics or its equivalent was taken, knowledge of statistics must be reviewed
through audit of this course or by preparation for and taking of a proficiency examination
before taking courses requiring Statistics as a prerequisite.

Who Needs This Course?

1. Graduate students:
   • MA Education
   • MPH
2. This course may also be taken by:
   • Professionals for continuing education
   • Professionals as a non-degree course for professional development
   • Graduate students of other schools as transfer credit

Time Investment

At least 3-5 hours /week for approximately 2 months

Course Outcomes

Upon completion of this course, the students will be able to:

• Work with raw data to form a frequency distribution and draw graphs
• Calculate measures of central tendency
• Demonstrate knowledge of variability, normal distribution, percentiles, and probability
• Produce output for t-test, correlation, regression, chi-square, ANOVA, and interpret the results

Topics to Cover

WEEK 1: Are you sadistic about statistics?
WEEK 2: Are curves means to an end?
WEEK 3: Are we normal?
WEEK 4: Let’s celebrate the difference
WEEK 5: Are we related?
WEEK 6: Let’s prophecy
WEEK 7: Three is a crowd
WEEK 8: What do we do when not normal?
WEEK 9: Examination week