In this class, I learned basic statistics that are used to analyze data related to fields in the Life Sciences. As part of this class, I also learned some of the basic functions of rCmmdr and how to run problems through the program. Some of the statistical analysis I learned included:

• Measures of normal distribution
• Correlation
• Independent and dependent t-tests
• Standard Error
• Statistical Significance
• Confidence Intervals
• ANOVAs: One-Way, Repeated Measures, and Factorial
• Standardization and z-scores

“Students will apply principles of research design and statistical analysis to interpret data and draw conclusions about the results of experimental situations relevant to the life sciences. Topics include sampling, binomial and normal distributions, hypothesis testing, t-tests, correlation, regression, and analysis of variance. Students will learn how to use statistical computer software to perform statistical analyses. 3.000 Credit hours”
–UNE Catalog Entry, MAT 150

Here is some example of the work I did in this class:
Statistics Assignment
Rcmmdr Lab