Oct 05, 2024  
2024-2025 Course Catalog 
    
2024-2025 Course Catalog
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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
 

  1. Examine attitudes related to the study of statistics
    1. Explain the causes of math anxiety
    2. Plan strategies for overcoming math anxiety
  2. Develop time management in statistics
    1. Discuss math time management
    2. Plan a study schedule
    3. Discuss how grades are calculated
  3. Examine technology skills required for the study of statistics
    1. Navigate the institution LMS
    2. Investigate the various software required for the course
    3. Explore Desmos, TI calculator, or other optional technologies
  4. Apply problem solving and critical thinking skills to various statistical scenarios
    1. Use problem solving strategies
    2. Develop appropriate mathematical models
    3. Make sense of graphical information
  5. Interpret concepts used in the study of statistics
    1. Communicate through examples what it means to understand mathematical and statistical concepts
    2. Demonstrate fundamental concepts within one’s own experiences
  6. Demonstrate a basic understanding of arithmetic
    1. Perform calculations with fractions, decimals, and percentages
    2. Compute answers with the appropriate statistical formulas
  7. Support the main competencies within statistics
    1. Analyze statistical processes
    2. Create appropriate data representations
    3. Examine fundamentals of probability and counting
    4. Analyze probability distributions
    5. Evaluate sampling distributions
    6. Support statistical inference with confidence intervals
    7. Create appropriate hypothesis test regarding one population parameter
    8. Create appropriate hypothesis test regarding two population parameters
    9. Evaluate linear correlation and linear models

Competencies Revised Date: AY2023



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