MATH 1635 — (M1 902/BUS 901) Statistics 4 Credit Hours
Students will be introduced to elements of descriptive and inferential statistics. Real world applications will be emphasized throughout the course. There will be a strong focus on statistical reasoning and problem solving using real-world data. A heavy emphasis will be placed on using advanced technology (such as a graphing calculator, spreadsheet, or statistical software) to complete statistical calculations. Students will also be expected to interpret and evaluate the statistical results. Topics include data descriptions and graphs; probability principles and their use in developing probability distributions; binomial, normal, student-t, chi-square, and F distributions; hypothesis testing; estimation; contingency tables; linear regression and correlation; and one-way ANOVA. (4 lecture hours)
Part of
- Construction Management, A.A.S.
- Biology Transfer Pathway, A.S.
- Business Transfer Pathway, A.A.
- Data Analytics, Certificate
- Economics Transfer Pathway, A.A.
- Economics Transfer Pathway, A.S.
- Sustainable Urban Agriculture, A.A.S.
- Library and Information Technology, A.A.S.
- Manufacturing Engineering Technology, A.A.S.
- Ophthalmic Technician, A.A.S.
- Pre-Pharmacy Transfer Pathway, A.S.