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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.

Units: 3

 WHO NEEDS THIS COURSE? Graduate students: MAEd MPH This course may also be taken by Professionals for continuing education Professionals as non-degree course for professional development Graduate students of other schools as transfer credits TIME INVESTMENT At least 3-5 hours /week day for approximately 2 months

COURSE OUTCOMES

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

1. Work with raw data to form frequency distribution and draw graphs
2. Calculate measures of central tendency
3. Demonstrate knowledge of variability, normal distribution, percentiles and probability
4. 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

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.