Aug 12, 2022
2021-2022 Catalog
 Select a Catalog 2022-2023 Catalog 2021-2022 Catalog [ARCHIVED CATALOG] 2020-2021 Catalog [ARCHIVED CATALOG] 2019-2020 Catalog [ARCHIVED CATALOG] 2017-2019 Catalog Addendum [ARCHIVED CATALOG]
 HELP 2021-2022 Catalog [ARCHIVED CATALOG] Print-Friendly Page (opens a new window)

# MATH& 146 - Introduction to Statistics

Credits: 5
Introduction to the analysis of statistical studies, descriptive statistics, basic probability, sampling distributions, hypothesis testing, confidence intervals, and correlation.

Enrollment Requirement: MATH 96  or MATH 97  with a grade of 2.5 or higher; or appropriate math placement.

Satisfies Requirement: Natural Science and Quantitative Skills

Course Outcomes:
Students who successfully complete this class will be able to:

1. Define and use common statistical terminology.
2. Identify the major categories of experimental designs and sampling methods.
3. Identify common sources of bias in surveys and experiments.
4. Construct and interpret frequency distributions, histograms, scatterplots, and box plots.
5. Calculate and interpret measures of center and spread.
6. Use correlation and linear regression to find the association between variables.
7. Explain and apply the central limit theorem.
8. Calculate confidence intervals for means and proportions.
9. Perform t-tests for single means and Chi Square tests.

Program Outcomes
1. Recognize which quantitative or symbolic reasoning methods are appropriate for solving a given problem.
2. Correctly implement the quantitative or symbolic reasoning methods that are appropriate for solving a given problem.
3. Translate data into various formats such as symbolic language, equations, graphs, and formulas.

College-wide Outcomes
• Quantitative and Symbolic Reasoning - Quantitative Reasoning encompasses abilities necessary for a student to become literate in today’s technological world. Quantitative reasoning begins with basic skills and extends to problem solving.