| STAT 3308 | Agricultural Statistics |
STAT 3308 Agricultural Statistics (3-0). Major emphasis is placed upon design analysis and interpretation of agricultural and biological experimental data. Information presented in this course will include statistical concepts and models simple tests of significance analysis of variance mean separation procedures and linear regression-correlation analysis. Prerequisite: MATH 1305, or MATH 1310, or MATH 1314, or MATH 1315, or MATH 1342, or permission of instructor. Equivalent courses: ANSC 3308, NRM 3308 (through Summer 2022). |
| STAT 5412 | Biostat Analysis I |
STAT 5412 Biostatistical Analysis I (2-2). An introduction to statistical concepts and models applied to agricultural and biological systems. The course introduces the scientific method inferential theory data types descriptive statistics goodness of fit contingency tables the normal distribution and one- and two-sample hypothesis testing. Emphasis will be placed on data analysis and interpretation using computer statistical applications. Required for MS Thesis Plan I option. Offered Fall. Equivalent courses: NRM 5412 (through Summer 2022), NRM 5312 (through Summer 2022), ANSC 5312 (through Summer 2022, BIOL 5316 (through Summer 2022). |
| STAT 5412 | Biostat Analysis I L01 |
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| STAT 5413 | Biost. Analysis Applc. R&SPSS |
STAT 5413 Biostatistical Analysis Application in R and SPSS (2-4). An advanced course in statistical concepts and models applied to agricultural and biological systems. Emphasis will be placed on data analysis and interpretation using computer statistical applications. The course applies all null hypotheses significance testing (NHST) procedures taught in NRM 5412 first in Program SPSS then in Program R after the thorough overview of R programming. NHST theory for these advanced scenarios will also be introduced and applied in R; Generalized Linear Models (GLMs) including Poisson regression dichotomous variables binomial distribution and proportion testing and logistic regression: Generalized Linear Mixed Models (GLMMs); and circular distributions. Equivalent course: BIOL 5317 (through Summer 2022), ANSC 5313 (through Summer 2022), NRM 5313 (through Summer 2022), NRM 5413 (through Summer 2022). |
