Course objectives:
Collection, summarization, and analysis of data from biological designed experiments; and the interpretation of, and inference from, the results in a wide range of topics in biology.
Course outlines:
What is Biostatistics?
How can we apply biostatistics to biotechnology tests?
Is there any correlation between biostatistics and graduation projects?
Duration: 4 working days (5 hours/day)
Agenda:
Day 1: Overview on SSP program, Data Entry, Variables, and, Descriptive Statistics: measures of central tendency and variability.
Day 2: Comparative Statistics: comparison of two different economic outcomes, before and after a change in some is underlying exogenous parameter.
Day 3: Correlation Statistics: define and quantify the relationship between two variables.
Day 4: Regression Analysis: mathematically describes the line of best fit for a data relationship between X and Y variables.
Course structure: The course will constitute theoretical classes, demonstration and hand training.
Who should attend the course?
Pre-graduates and postgraduates who are involved in the medical field (Biotechnology, Pharmacy, Dentistry, Medicine, Science, and Agriculture) and specifically the research, masters, PhD, and graduation project.
Requirements: Laptops has SPSS installed for exercises, assignments, and evaluations.