Principles of Statistics
Hours | 3.0 Credit, 3.0 Lecture, 1.0 Lab |
Prerequisites | None |
Recommended | MATH 110 or equivalent. |
Taught | Fall, Winter, Spring, Summer |
Offered | Independent Study also. |
Programs | Containing STAT 121 |
Observational Studies and Experiments
Differentiate between observational studies and experiments
Three Sampling Designs
Identify three sampling designs: simple random sample, stratified, and multi-stage
Three Designs of Experiments
Identify three designs of experiments: completely randomized, randomized block and matched-pairs
Appropriate Conclusions
Interpret and make appropriate conclusions from plots of data
Plots of Data
Interpret and make appropriate conclusions from plots of data
Measures of Center and Spread
Calculate and interpret measures of center and spread
Quantitative and Categorical Variables
Determine potential association between two quantitative and two categorical variables
Technical Language
Communicate using technical language about probability and variation
Outcomes of Estimation
Interpret and communicate the outcomes of estimation and hypothesis tests in the context of a problem
Estimation and Hypothesis Tests
Interpret and communicate the outcomes of estimation and hypothesis tests in the context of a problem
Data Collection
Understand the importance of data collection and how it dictates the appropriate statistical method and acceptable inference
Statistical Procedure
Determine the appropriate statistical procedure to use for a given research problem or data set
Research Problem
Determine the appropriate statistical procedure to use for a given research problem or data set
Real-life Problems
Apply course principles to solve real-life problems