Statistics Tips to Improve Student Understanding

Are you having trouble engaging students to understand statistics concepts? Are you looking to help your students understand real data? We can help! These WebAssign tips will help you to increase your students’ success with statistics.
Choose questions that align with your course goals
Different questions may not achieve the same goal. These questions will help you improve student engagement, preparedness, and conceptual understanding in your statistics course.
Stats in Practice Video Questions, (SIP), show students how statistics can be applied to the real world. Each module starts with short, current news videos. Students are given multiple-choice questions and discussion questions after each video to help them understand the real-world application of what is being learned. This keeps them engaged throughout the entire module.
Concept Questions (CQs) are a new way to engage with non-computational queries. These questions allow students to enter a free answer before choosing a multiple-choice answer. This closes the gap between homework and test preparation.
Multi-concept questions called Challenge Problems (CH), which pull information from pre-requisite learning objectives that have been covered.
Data Set Problems (DS), uses real-world data sets for the setting up of the question.
Challenge Data Set Problems (CHDS), which include data sets, cover prerequisite learning objectives.
Use Statistics Tools to Explore Real Data With Technology
Interactive digital platforms are one of the best features. These questions and tools can be incorporated into your next assignment.
Simulation Questions by JMP: Help your students better understand concepts using real data. Students will need to find the answer to guided questions using a simulation of real data within our JMP interactive applet within WebAssign.
Labs (Labs): Students can do real statistical analysis online or in class using premade and module-specific Stats Labs. Students will need to use the instructor-selected tool for data analysis to analyze real data sets. This will allow them to bring together knowledge from previous material and facilitate whole-picture learning.
Project Milestones (PJT: Allow students to brainstorm, collaborate, and submit a longer term project. These are the four sequential milestones:Research Design
Collect Data
Analyze data
Present Results

Statistical Analysis and Learning Tools (SALT): Designed for statisticians by statisticians, SALT engages students in data manipulation, analysis and interpretation without getting bogged down with complex computations. SALT helps students develop a deeper conceptual understanding of how to think and act like a statistician. It includes features such as:Easy-to use data analysis visualization across all data types
WebAssign statistics courses are free and integrated into the course.
Hypothesis testing
Sampling distributions
Randomized tests

These tips & tools can be applied to your course
To search the abbreviations, use the Question Browser. For example, search “.CQ” for concept questions. For more information and additional support, reach out to your Cengage Learning consultant for assistance in adding these questions to your course.

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