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Oct 06, 2024
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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 97 with a grade of 2.0 or higher; or MATH 72 with a grade of 2.5 or higher and concurrently enrolled in MATH 36 MATH 36 - Support Course for MATH& 146 ; or appropriate math placement.
Satisfies Requirement: Natural Science and Quantitative Skills Course Fee: $2.00
Course Outcomes: Students who successfully complete this class will be able to:
- Define and use common statistical terminology.
- Identify the major categories of experimental designs and sampling methods.
- Identify common sources of bias in surveys and experiments.
- Construct and interpret frequency distributions, histograms, scatterplots, and box plots.
- Calculate and interpret measures of center and spread.
- Use correlation and linear regression to find the association between variables.
- Explain and apply the central limit theorem.
- Calculate confidence intervals for means and proportions.
- Perform t-tests for single means and Chi Square tests.
Program Outcomes
- Recognize which quantitative or symbolic reasoning methods are appropriate for solving a given problem.
- Correctly implement the quantitative or symbolic reasoning methods that are appropriate for solving a given problem.
- 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.
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