You must be logged in to perform this action.
You must be logged in to perform this action.
You must be logged in to perform this action.
You must be logged in to perform this action.
You must be logged in to perform this action.
You must be logged in to perform this action.
No Strings Attached

-
Read the Fine Print

-
(Complete Item Description)
- Abstract:
Population size, or the abundance of organisms in a study site, is the most fundamental of the primary demographic statistics. We present a laboratory study that introduces college undergraduates to mark-recapture methods that estimate population size. Students apply a simple mark-recapture method to estimate population size in cultures of a seed beetle, Callosobruchus maculatus. After completing this study, students not only will have rudimentary knowledge of statistical methods (e.g., standard deviation and 95% confidence limits), but will also know how to obtain reliable estimates of population size.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- SubTopics:
-
Animals and Insects
- Collection:
-
Association for Biology Laboratory Education (ABLE)
No Strings Attached

-
(Complete Item Description)
- Abstract:
This is a collection of labs from Collaborative Statistics by Illowski and Dean which have been edited to include Minitab activities. In addition the labs are to be done as individual activities.
- Subject:
- Mathematics and Statistics
- Grade Level:
- Post-secondary
- Collection:
-
Connexions
Remix and Share

-
(Complete Item Description)
- Abstract:
This course develops logical, empirically based arguments using statistical techniques and analytic methods. It covers elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation. Emphasis is placed on the use and limitations of analytical techniques in planning practice. This course is required for and restricted to first-year M.C.P. students.
- Subject:
- Social Sciences
- Grade Level:
- Post-secondary
- Collection:
-
MIT OpenCourseWare
No restrictions on your remixing, redistributing, or making derivative works.
Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some
restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make
derivative works.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based
educators, or other custom arrangements. Go to the resource provider to see
their individual restrictions.