Important Information about Statistics Course Sequencing
This is a reminder about the policy on statistics course sequencing, developed by Vice Dean for Education Edward Scheinerman in consultation with Dan Naiman, Chair of Applied Math & Statistics, and professors of the various statistics courses across campus. The Registrar’s Office has implemented the automatic enforcement of this policy in SIS. Students who attempt to register for a statistics course in a reverse sequence will be prevented from doing so.
Policy on Statistics Courses Sequencing
(See Registration Policies)
Undergraduate students at the Homewood Schools of Johns Hopkins University enjoy a wide selection of courses on statistics; however, it is not proper for a student to be awarded credit for two courses that cover essentially the same material. Likewise, it is not proper for a student to receive credit for a more basic course after having received credit for a more advance course in the same subject.
Our statistics courses fall into one of the following four categories, listed in increasing level of sophistication:
- Non-calculus based, basic
- Non-calculus based, intermediate
- Calculus based, intermediate
- Calculus based, advanced
A student may take at most one course (or course sequence) from within one of these categories. A student may not take a course in a lower numbered category after having taken a course in a higher numbered category.
Some departments may require their undergraduate majors to take specific statistics courses; that is their prerogative. This policy simply precludes students from receiving credit for two courses that have much the same content, with possibly different emphases. It does not imply that one course in a category may be substituted for another.
The list below shows how the courses (and course sequences) are allocated to these categories.
For example, a student may take EN.550.111 but then may not subsequently take AS.230.205. A student who has taken EN.550.310 may not also take EN.550.311, EN.550.435, or any of the courses in the first two categories.
Category 1: (Non-calculus based, basic course)
- EN.550.111 Statistical Analysis I/EN.550.113 Statistics Through Case Study
- AS.230.205 Introduction to Social Statistics
- AP Statistics
Category 2: (Non-calculus based, intermediate course)
- EN.550.211 Probability and Statistics for the Life Sciences
- EN.550.230 Introduction to Biostatistics
- AS.280.345 Public Health Biostatistics
- AS.200.314 Advanced Statistical Methods-AS.200.315 Advanced Research Design and Analysis
Category 3: (Calculus-based, intermediate course)
- EN.550.310 Probability & Statistics for the Physical and Information Sciences & Engineering/EN.550.311 Probability and Statistics for the Biological Sciences and Engineering
- EN.560.435 Probabilty and Statistics in Civil Engineering
Category 4: (Calculus-based, advanced course)
- EN.550.420 Intro To Probability-EN.550.430 Introduction to Statistics
Some courses do not fall into one of the four categories:
- AS.200.207 Research Methods in Experimental Psychology. This is not a probability/statistics course and may be taken in combination with any of the other courses listed in this document in any sequence.
- EN.550.413 Applied Statistics and Data Analysis This course is mostly independent of the other probability/statistics courses, but subsumes enough of the non-calculus, basic course material that none of those courses (category 1) may be taken after EN.550.413.
- EN.550.112 Statistical Analysis II may be taken after any category 1, 2, or 3 course. However, the preferable sequence is EN.550.111 Statistical Analysis I-EN.550.112 Statistical Analysis II.
Equivalent Statistics Courses
The courses EN.550.310 Probability & Statistics for the Physical and Information Sciences & Engineering and EN.550.311 Probability and Statistics for the Biological Sciences and Engineering are considered equivalent to each other and can be used interchangeably. A poor grade in one may be absolved by the opposite course.
The courses EN.550.111 Statistical Analysis I and EN.550.113 Statistics Through Case Study are considered equivalent to each other and can be used interchangeably. A poor grade in one may be absolved by the opposite course.