Covers sampling concepts, graphical and numerical data summaries, basic probability theory, discrete and continuous probability models, sampling distributions, hypothesis testing, correlation and both simple and multiple regression analysis. Students learn decision making and solving business problems by using data. Uses statistical features of Excel. Course requirements: laptop with Microsoft Excel; iClickers. Equivalent - Duplicate Degree Credit Not Granted: MATH 2510, PSYC 2111, PSCI 2075, SOCY 2061.
Arnold, Mathew R
Primary Instructor
- Spring 2020 / Spring 2021 / Spring 2022 / Summer 2022 / Spring 2023 / Summer 2023 / Spring 2024 / Summer 2024
Koc, Tuba
Primary Instructor
- Spring 2018 / Spring 2019 / Spring 2022
Morrin, Christina Marie
Primary Instructor
- Spring 2018 / Spring 2019 / Summer 2019 / Spring 2020 / Summer 2020 / Spring 2021
Schaub, Kevin D.
Primary Instructor
- Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022 / Fall 2022 / Spring 2023 / Fall 2023 / Spring 2024 / Fall 2024
