Description

Fundamental concepts and applications of descriptive and inferential statistics. Includes measures of central tendency and variability, statistical graphs, probability, the normal distribution, hypothesis testing, confidence intervals, ANOVA testing and regression analysis. Graphing calculator or statistical software techniques are used throughout the course.

Grading Basis

Graded

Prerequisites

MATH 99 with a "C" (2.0) or better, or a grade of 3 or higher on the Smarter Balanced exam, "C" (2.0) or better in high school Algebra, Precalculus or Calculus within past three years or appropriate placement score.

### Course Learning Outcomes

### Core Topics

- Measures of central tendency and variability
- Histograms and other types of statistical graphs
- Basic sampling methods and pitfalls
- Techniques for calculating probability, including the binomial probability formula
- The normal distribution and its relationship to z-scores, probabilities, and percentiles
- Hypothesis tests on proportions and their differences, and on means and their differences, with large and small samples
- Confidence intervals and estimation
- Chi-square hypothesis tests
- ANOVA hypothesis testing
- Linear regression, correlation and reliability of predictions