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Nov 22, 2024
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MAT 856 - Statistics Support Lab Credits: 1 Lecture Hours: 0 Lab Hours: 2 Practicum Hours: 0 Work Experience: 0 Course Type: General Supports success in Statistics through student-centered instruction and group work. Develops skills required for success in college-level statistics, including problem solving, critical thinking, and quantitative reasoning. Students must be concurrently enrolled in MAT 156 . Prerequisite: Minimum ALEKS score of 20% or MAT 064 with a C- or better. Corequisite: MAT 156 Competencies
- Examine attitudes related to the study of statistics
- Explain the causes of math anxiety
- Plan strategies for overcoming math anxiety
- Develop time management in statistics
- Discuss math time management
- Plan a study schedule
- Discuss how grades are calculated
- Examine technology skills required for the study of statistics
- Navigate the institution LMS
- Investigate the various software required for the course
- Explore Desmos, TI calculator, or other optional technologies
- Apply problem solving and critical thinking skills to various statistical scenarios
- Use problem solving strategies
- Develop appropriate mathematical models
- Make sense of graphical information
- Interpret concepts used in the study of statistics
- Communicate through examples what it means to understand mathematical and statistical concepts
- Demonstrate fundamental concepts within one’s own experiences
- Demonstrate a basic understanding of arithmetic
- Perform calculations with fractions, decimals, and percentages
- Compute answers with the appropriate statistical formulas
- Support the main competencies within statistics
- Analyze statistical processes
- Create appropriate data representations
- Examine fundamentals of probability and counting
- Analyze probability distributions
- Evaluate sampling distributions
- Support statistical inference with confidence intervals
- Create appropriate hypothesis test regarding one population parameter
- Create appropriate hypothesis test regarding two population parameters
- Evaluate linear correlation and linear models
Competencies Revised Date: AY2023
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