STAT 250Introduction to Biostatistics
Statistical analysis and interpretation of data in the biological sciences; probability; distributions; statistical inference for one- and two-sample problems. STAT 250 is a standard first course in statistics, with an emphasis on applications and statistical techniques of particular relevance to the biological sciences. Students who have successfully completed this course will understand basic concepts of probability and statistical inference, including common graphical and numerical data summaries; notions of sampling from a population of interest, including the sampling distribution of a statistic; construction and interpretation of confidence intervals, test statistics, and p-values; and connections between probabilistic concepts such as normal distributions and statistical inference. They will recognize various types of data, appropriate statistical methods to analyze them, and assumptions that underlie these methods. Students will use statistical software to analyze real data.
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 2 · Spring (7 programs).
Required in (3)
- Biology, B.S. (Behrend)
- Food Science, B.S.
- Forensic Science, B.S.
One of the options in (45)
- Agricultural and Biorenewable Systems Management, B.S.
- Biobehavioral Health, B.S. (Behrend)
- Biobehavioral Health, B.S. (Capital)
- Biobehavioral Health, B.S. (Health and Human Development)
- Biobehavioral Health, B.S. (University College)
- 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)
- and 33 more
Courses that list STAT 250 as a prerequisite (41)
- ABSM 424 Precision Agriculture Technology
- AGBM 106 Agribusiness Problem Solving
- ANSC 456 Animal Microbiomes
- BA 302 Supply Chains
- BBH 310 Research Strategies for Studying Biobehavioral Health
- BBH 310H Research Strategies for Studying Biobehavioral Health
- BBH 410 Developmental and Health Genetics
- BBH 411W Research and Applications in Biobehavioral Health
- BBH 440 Principles of Epidemiology
- BBH 471 Clinical Research Practice
- BBH 477 Sleep and Biobehavioral Health
- BIOL 402W Biological Experimental Design
- BIOL 403 Biological Writing and Communication for Research
- BIOL 428 Population Genetics
- BMB 485 Human Genomics and Biomedical Informatics
- DA 201W Descriptive Analytics
- ERM 412 Resource Systems Analysis
- FDSC 403 Sensory Data Collection & Analysis
- FDSC 404 Sensory Evaluation of Foods
- FDSC 411 Managing Food Quality
- FOR 266 Forest Resources Measurements
- FOR 350 Forest Ecosystem Monitoring and Data Analysis
- FRNSC 410 A Scientific Approach to Crime Scene Investigation
- FRNSC 411 Criminalistics: Trace and Impression Evidence
- FRNSC 412 Laboratory in Criminalistics: Trace and Impression Evidence
- HHD 410 Clinical Research Practice
- HPA 440 Principles of Epidemiology
- HPA 446 Economics and Health In Low- and Middle-Income Countries
- HPA 472 Advanced Data Analysis in Health Administration
- PUBH 401 Public Health Surveillance: From Data Collection to Communication
- 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
- VBSC 444 Epidemiology of Infectious Diseases
- VBSC 445 Molecular Epidemiology of Infectious Diseases
- VBSC 485 Human Genomics and Biomedical Informatics
- WFS 340 Statistics for Conservation of Wild Populations
- WFS 446 Wildlife and Fisheries Population Dynamics