Do you struggle with engaging students in order to gain a conceptual understanding of statistics? Are you looking for tools tell help your students explore real data? We can help! Apply these WebAssign tips and tools to enhance your students’ success in statistics.
Choose Questions that Align with Your Course Goals
Not all questions achieve the same goal. Use the questions below to help improve student engagement, preparedness and conceptual understanding in your statistics course.
- Stats in Practice Video Questions (SIP) show students how statistics applies to the real world. First, each module begins with short and current news videos. Following each video, students are provided with multiple-choice and discussion questions, to help students understand real-world application of what they’re learning. This also keeps them engaged throughout the whole module.
- Concept Questions (CQ) provide a new way of engaging with non-computational questions. In these questions, students enter a free response before they choose a multiple-choice answer, closing the gap between homework and test preparedness.
- Challenge Problems (CH) are multi-concept questions that pull information from prerequisite learning objectives already covered.
- Data Set Problems (DS) use real-world data sets to set up the question.
- Challenge Data Set Problems (CHDS) include data sets and cover prerequisite learning objectives.
Use Statistics Tools that Explore Real Data with Technology
One of the best parts of using a digital platform is the ability to make it interactive. Incorporate these questions and tools into your next assignment.
- Simulation Questions by JMP (JMP): Enable your students to better understand concepts by utilizing real data. Students must discover the answer to guided questions by interacting with a simulation of real data in our JMP interactive applet within WebAssign.
- Labs (Lab): Students can perform real statistical analysis in class or online with premade and module-specific Stats Labs. Require students to use the instructor-selected data analysis tool to analyze a real data set, pulling together knowledge learned from that module and previous material to facilitate whole-picture learning.
- Project Milestones (PJT): Provide one place for students to ideate, collaborate, and submit a longer-term project. The four sequential milestones are:
- Research Design
- Gather Data
- Analyze Data
- Present Results
- Coming Fall 2020 – Statistical Analysis and Learning Tool (SALT): Designed by statisticians, for statisticians, SALT deeply engages introductory students in data manipulation, analysis, and interpretation without getting bogged down in complex computations. SALT empowers students toward deeper conceptual understanding of how to think like a statistician, incorporating features like:
- Easy-to-use data analysis visualization across data types
- Free and integrated into WebAssign statistics courses
- Hypothesis testing
- Sampling distributions
- Randomized tests
To Apply These Tips & Tools to Your Course
Use the Question Browser to find the questions mentioned above by searching the abbreviations. For example, search “.CQ” for concept questions. Reach out to your Cengage Learning Consultant for more information or additional support in adding these to your course.