Principles of Statistics

Principles of Statistics
Graphical displays and numerical summaries, data collection methods, probability, sampling distributions, confidence intervals and hypothesis testing involving one or two means and proportions, contingency tables, correlation and simple linear regression.
 Hours3.0 Credit, 3.0 Lecture, 1.0 Lab
 RecommendedMATH 110 or equivalent.
 TaughtFall, Winter, Spring, Summer
 OfferedIndependent Study also; Honors also.
 ProgramsContaining STAT 121
Course Outcomes

Appropriate Conclusions

Interpret and make appropriate conclusions from plots of data

Quantitative and Categorical Variables

Determine potential association between two quantitative and two categorical variables

Technical Language

Communicate using technical language about probability and variation

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

Research Problem

Determine the appropriate statistical procedure to use for a given research problem or data set