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Statistics Tips to Enhance Student Understanding and More


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 Goals


Select.pngNot all questions achieve the same goal.  Use the questions below to help improve student engagement, preparedness and conceptual understanding:

  • Stats in Practice Video Questions (SIP) show students how Statistics applies in the real world. Short and current news videos introduce each module. Each video is accompanied by multiple-choice and discussion questions, so that students can understand real-world context of what they're learning and stay engaged throughout the whole module.
  • Concept Questions (CQ) provide a new way of engaging with non-computational 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.


Incorporate Tools that Explore Real Data with Technology into your Course


real-data-withtech.pngOne 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): Have your students 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): Allow one place for students to ideate, collaborate, and submit a longer-term project. The four sequential milestones are:
    1. Research Design
    2. Gather Data
    3. Analyze Data
    4. Present Results


To Apply These Tips to your Course: Use the Question Browser or reach out to your Cengage Learning Consultant for more information.


Coming Soon to Statistics: The new SALT tool! Learn more here.