An introductory course in statistical methods. Topics include collection and display of data, mean, standard deviation and variance, probability including the normal, binomial, and chi-square distributions. Other topics also included are sampling and sampling distributions, confidence intervals, hypothesis testing including nonparametric tests, regression, and analysis of variance. Prerequisite: Successful completion of the required TSI test or MATH 0023 or MATH 0022 with a grade of C or better.
- Teacher: Serena Metcalf
In-depth study and applications of polynomial, rational, radical, exponential and logarithmic functions, and systems of equations using matrices. Additional topics such as sequences, series, probability, and conics may be included. Prerequisite: MATH 0021 and MATH 0022 or successful completion of the required TSI test.
- Teacher: Serena Metcalf