This ready to use Statistics Course contains all the topics of a regular Statistics book, used by teachers and students around the world. Starting with Sampling and Data, through Measures of Center and Spread up to Hypothesis Testing with Two Samples and Linear Regression.
With this complete and ready to use course Grasple offers an innovative solution for Statistics that allows you to quickly start with Grasple in your course.
The platform is designed to be an user-friendly learning and teaching platform, allowing teachers to start immediately with minimal effort. Our OER ready to use courses showed positive results from both teachers and students, highlighting increased engagement and improved understanding. With Grasple, teachers can confidently deliver high-quality, interactive lessons that address the diverse needs of their students, making learning more enjoyable and effective for everyone.
Why should you use Grasple for your Statistics Course?
Enhanced Student Engagement
Interactive exercises and instant feedback, including detailed solutions missing from the book, to boost student learning and engagement.
Time-Efficient Course Preparation
Ready-to-use course designed to complement renowned book material, enabling teachers to focus on teaching, not course creation. The course is ready to use as is or can be personalized to your own course structure within minutes to match your individual teaching style.
Real-time learning insights
See which concepts your students are struggling with. Our Learning Analytics dashboards help you see exactly where your help is most needed.
Content of the Statistics Course
- Sampling and Data
- Descriptive Statistics
- Measure of Center and Spread
- Covariance and Correlation
- Central Limit Theorem
- Confidence Intervals
- Z-Tests
- Introduction to Hypothesis Testing
- Measures of Significance
- Hypothesis Testing with One Sample
- Kolmogorov-Smirnov Test
- Hypothesis Testing with Two Samples
- F-Tests
- Chi-Squared Distribution
- Linear Regression
- ANOVA
- Choosing a Suitable Statistical Test
- Introduction to Monte Carlo Simulation