Teaching materials on quantitative analysis are often stereotyped as “dry,” “boring,” “difficult” or even “intimidating” by some undergraduate students. To make the entry level inferential statistics more approachable to those students, we use “down-to-earth” real-life examples with a hint of humor in teaching and learning of correlation and common...
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- College 300
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- This is the latest of the three resources that were originally developed while tutoring students with mild math and stats anxiety.It can be used to ease students’ “psychological barriers” to statistics and to introduce them to the most basic statistical concepts before they take on more advanced and...
Learning Goals and Assessments
- LO 1: To learn how to use Microsoft Excel to analyze covariance on a hypothetical data set and report the results in the APA format.
- LO 2: To learn how to identify and avoid common pitfalls and logical fallacies in correlational analysis.
- LO 3: To learn how to make “empirically informed” decisions in everyday problem-solving situations based on simple quantitative analyses.
- Assessment 1: How appropriately students respond to Questions IA3C and IB on the assignment sheet.
- Assessment 2: How appropriately students respond to Questions IIA1, IIA2, IIB1, IIB2, IIC1, IIC2, IIC3, IID1, IIIA, and IIIB on the assignment sheet.
- Assessment 3: How appropriately students respond to Questions IV1 and IV2 on the assignment sheet.
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