Welcome to the CoursePlus Web site for STATISTICS FOR LABORATORY SCIENTISTS II (140.616.01), a course offered by the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
Introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters, estimates, and the use of confidence intervals and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, and sample size and power calculations. Introduces and employs the freely available statistical software, R, to explore and analyze data.
Upon successfully completing this course, students will be able to:
- Conduct a test to compare two population proportions
- iIdentify the appropriate form of analysis of variance for a particular experiment, and calculate and interpret an ANOVA table
- Perform simple and multiple linear regression and interpret the results
- Identify and assess the appropriateness of the assumptions underlying ANOVA and linear regression
- Use the statistical software, R, to display and analyze data
Mon Wed Fri 10:30 AM to 11:20 AM
Laboratory science students in BMB, EHS, MMI, and IH (nutrition)
Grading Policy: Homework assignments, one or two in-class exams
Grading Restrictions: Letter grade