## Advanced Statistics - Biology 6030 |

## Bowling Green State University, Fall 2017 |

**M**: Apocalyptic Revelations**W**: Please give us a short summary of experimental design and questions of the project you will work on during the semester.

**F**: Install software tools

**M**: Python Intro**W**: R Intro**F**:

**M**: Labor day**W**: Data Files and Descriptive Statistics, Review: Scientific Method, Review: Descriptive Stats; Review: Probability and the Magic of*P*; Review: Analytical Stats; R Exercises: Setup; R Exercises: DataManagement; Python Exercises: Setup**F**: You are welcome to discuss and work with others in the class towards solving these problems: Lab - Probabilities1. Also please quickly review what goes into standard error, confidence intervals, and one sample t-test

We will learn some basic tools for obtaining terms for statistical
analysis. In preparation for next week remind yourself of the basic
principles of **parametric analysis**, sich as those that
underlie ANOVA, linear regression, etc.

**M**: Review: The Normal Distribution, Review: t-Tests**F:**Assignment: Lab - Probabilities2;

Practices: R Exercises: Combos; R Exercises: Associations; R Exercises: Normal Distribution; Python Exercises: Associations; Python Exercises: Normal Distribution; Lab - Associations2

**M**: Review: ANOVA: - the Basics, the Terms, the Asumptions- W: Review:
Correlation; Example Code: R Exercises:
tTest; R
Exercises: ANOVA; optional: Python
Exercises: tTest/ANOVA

**F:**Lab - ANOVA and ANOVA vs. Regression

**M**: Review: Linear Regression Analysis: the Basics;

- W: Curve fitting with parametric Regression Analysis
**F:**Assignment: R Exercises: Regression Models and Curve Fitting

Practices: Python Exercises: Regressions

**M**: Repeated Measures Designs, Multi-way ANOVAMultiple Linear Regression Analysis: the Basics**W**:**F**: Lab Assignment: Select Predictor Model for Response Variable

Practices: Multi-factor Design and the Assumptions of ANOVA; R Exercises: Multiple Linear Regression Models

- M: Matrix
Operations, Variance/Covariance
Matrix

- W: Factor Analysis
**F**: Lab Assignment: Cichlid Brain Morphology

**M**: Fall break

**W:**Proximities and Cluster Analysis**Lab**: Assignment: Cluster Analysis of Expression Data**, optional:**R Exercises: Multivariate Descriptive Statistics

**M**: Discriminant Analysis, Multivariate Descriptive Statistics**W**: MANOVA, Canonical Correlation**Lab**: MANOVA/DFA of Expression Data, optiponal: Grouping data based on shared characteristics- R Exercises: MANOVA, R Exercises: Canonical Correlation

**M:**Patrick- W: 2d graphing
**Lab:**Reil Data Analysis

- M
**: Zhaohui** **W:**Zhaohui Data Analysis**Lab**: Vet Day

**M:****Joe**

**W: Lecture**: Replicated Goodness of Fit Tests,**Lecture**: Contingency Tables-
**Lab**: Basalla Data Analysis

**M:****Katelyn**

**W:**TG**Lab**: TG

**M:**Katelyn Data Analysis**W:****Joan****Lab**: Joan Data Discussion

**M:****Ryan****W:**Ryan Data Discussion**Lab:**lab: testing physiological responses to osmotic regulation and caloric loading, with no nutrition whatsoever ...

**ready to use ...**

**Lecture**: Log-likelihood and Log-Linear Models**Lecture**: Logistic Regression for ordinal or nominal dependent variablesCircular Statistics**Lecture**:Spatial Data Analysis**Lecture**:Multidimensional Scaling**Lecture**:**Lecture**: Correspondence Analysis**Lecture**: Review of Stats PaperReview of Papers with Complex Data 2**Lecture**:-
Review of Papers with Complex Data 3**Lecture**: **Lecture**: Deterministic non-linear Systems and the Study of Complexity**Lecture**: Time Series, Survival Analysis, Failure Analysis- Sequential Analysis, Temporal Autocorrelation, Analysis of Sound Data
**Lecture**: Resampling and Randomization**Lecture**: Contingency Tables- Strange attractors and chaos
Experimental Designs**Review**:

Labs

**Lab**:- Data Transformations
- Multivariate Analyses 1
- R Exercises: Repeated Measures Design
- R Exercises: Descriptives
- optional: Python Exercises: Descriptives
- optional: Lab - Associations1

**Java Exercises 8: Mantel's Matrix Correlations**

last modified: 4/14/15

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