Outcome Statements
- Recognize the overall importance and broad application of statistics from its use in research to its use in every day life
- Understand the techniques of random sampling and the production of “good” data
- Be able to use basic descriptive statistics and exploratory data analysis (EDA) to select appropriate statistics for both univariate (one variable) and bivariate (two variables) data on qualitative and quantitative scales
- Understand distributional characteristics of variables measured on quantitative scales including shape, central tendency, variability, and percentiles
- Understand basic rules of probability and the importance of language in calculations of probabilities (percentages)
- Understand the basic theory behind the three main areas of inferential statistics: point estimation, confidence intervals, and tests of hypotheses
- Be able to use inferential statistics on a variable measured on one or two samples, including: selection of procedures, verification of assumptions, application of procedures, and interpretation of results
- Be able to use a statistical package for computation and meaningfully interpret the results
Other information here as needed.
Policies for STAT190 Section 10 Spring 18 (Password)
Where the Statistics Lie (4 up) (Password)
STAT 190 Exam 1 Fall 2017 (Password)
STAT 190 Exam 1 Fall 2017 KEY (Password)
STAT 190 Exam 2 Fall 2017 (Password)
STAT 190 Exam 2 Fall 2017 KEY (Password)
STAT 190 Exam 3 Fall 2017 (Password)
STAT 190 Exam 3 Fall 2017 KEY (Password)
A Few 2-Sample Problems, with Solutions:
STAT190 Two Sample Problems (Password)