 # 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.
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

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