RESM 615 Statistics / PHFN 620 Biostatistics
An introduction to descriptive and inferential statistic. Concepts covered in this course include measures of frequency, central tendency, and variation, transformed scores, normal distribution, central limit theorem, hypotheses 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 introduction to non-parametric statistics. Students are expected to develop proficiency in using a major statistical package. Computer laboratory fees apply.
WHO NEEDS THIS COURSE?
This course may also be taken by
At least 3-5 hours /week day for approximately 2 months
Upon completion of this course, the students will be able to:
- Work with raw data to form 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
Are you sadistic about statistics?
Are curves means to an end?
Are we normal?
Let’s celebrate the difference
Are we related?
Three is a crowd
What do we do when not normal?
COURSE FACILITATOR & DEVELOPER
Samuel Gaikwad, PhD
Dr. Samuel Gaikwad is a professor of the Education Department of the Graduate School at Adventist International Institute of Advanced Studies. He hails from India, where he worked in different institutions as a teacher, consultant, and administrator. He specializes in Curriculum and Instruction and educational administration. He teaches research and statistics courses at AIIAS for several years.