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.

STAT

121

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

Course Outcomes:

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