STAT 240Introduction to Biometry
Statistical analysis, sampling, and experimentation in the agricultural sciences; data collection, descriptive statistics, statistical inference, regression, one factor AOV, probability. Students may take only one course from STAT 200 , 220, 240 , 250 for credit. STAT 240 Introduction to Biometry (3) (GQ)(BA) This course meets the Bachelor of Arts degree requirements. This is a course concerned with statistical analysis pertaining to the natural and agricultural sciences. The objective of the course is to provide students with a good basis for understanding uncertainty and its effects on understanding observational studies and experiments. Course content includes data collection, descriptive statistics, statistical inference, regression, and ANOVA. Students will learn through lectures, individual and group problem solving, computer-based activities, and case study discussions. Since real-life use of statistics relies upon computers, this course will provide a strong hands-on analysis element necessitating regular access to computer labs. The statistical background gained by students will provide them with a base for future use of statistics in both their course work and careers.
Prerequisites
From the catalog: “Placement into MATH 21 or higher”
General education
Quantification (GQ)
Where it sits in degree plans
Suggested plans most often put it in Year 3 · Fall (2 programs).
One of the options in (18)
- Agricultural and Biorenewable Systems Management, B.S.
- Biological Engineering, B.S.
- Biology, B.S. (Abington)
- Biology, B.S. (Altoona)
- Biology, B.S. (Berks)
- Biology, B.S. (Capital)
- Biology, B.S. (Science)
- Biology, B.S. (University College)
- Environmental Health and Safety, Minor
- Environmental Resource Management, B.S.
- Forest Ecosystem Management, B.S.
- Immunology and Infectious Disease, B.S.
- and 6 more
Courses that list STAT 240 as a prerequisite (16)
- ABSM 424 Precision Agriculture Technology
- AGBM 106 Agribusiness Problem Solving
- ANSC 456 Animal Microbiomes
- BIOL 428 Population Genetics
- ERM 412 Resource Systems Analysis
- FDSC 403 Sensory Data Collection & Analysis
- FOR 266 Forest Resources Measurements
- FOR 350 Forest Ecosystem Monitoring and Data Analysis
- STAT 300 Statistical Modeling I
- STAT 460 Intermediate Applied Statistics
- STAT 461 Analysis of Variance
- STAT 462 Applied Regression Analysis
- STAT 464 Applied Nonparametric Statistics
- STAT 466 Survey Sampling
- WFS 340 Statistics for Conservation of Wild Populations
- WFS 446 Wildlife and Fisheries Population Dynamics