Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
TI-Nspire Statistics Demonstrations and Activities Looking for a great way to illustrate an important statistical concept? I created 29 classroom demonstrations to run on your computer's TI-Nspire® software. These demonstrations were written using Version 1.4 of the TI-Nspire Computer Software – Teacher Edition and will also run on the CAS Computer Software. They can be downloaded from: http://wps.aw.com/aw_bock_statsmodworld_3/ 1. Conditional distributions and association 2. Mean, median, and outliers 3. Standard deviation, IQR, and outliers 4. Boxplots and dotplots 5. Histograms and boxplots 6. The 68-95-99.7 Rule 7. Normal percentiles 8. Normal models 9. Normal probability plots and histograms 10. Correlation and scatterplots 11. Least squares 12. Understanding R-squared 13. Residuals plot 14. Influential points 15. Re-expressions 16. Simulations 17. Populations and samples 18. The Law of Large Numbers 19. Geometric probabilities 20. Binomial probabilities 21. How close to Normal? 22. Sample proportions 23. Central Limit Theorem 24. Confidence intervals 25. Errors and power 26. The t-models 27. Confidence intervals for means 28. The Χ² models 29. Regression inference John F Mahoney, Benjamin Banneker Academic HS, Washington, DC [email protected] TI-Nspire Statistics Demonstrations and Activities Conditional distributions and association Mean, median, and outliers Standard deviation, IQR, and outliers Boxplots and dotplots Histograms and boxplots The 68-95-99.7 Rule Normal percentiles Normal models Normal probability plots and histograms Correlation and Scatterplots Least squares Understanding R-squared Residuals plot Influential points Re-expressions Simulations Populations and samples The Law of Large Numbers Geometric probabilities Binomial probabilities How close to Normal? Sample proportions Central Limit Theorem Confidence Intervals Errors and power The t-models Confidence Intervals for Means The Χ² Models Regression inference Looking for a great way to illustrate an important statistical concept? I created 29 classroom demonstrations to run on your computer's TI-Nspire® software. These demonstrations were written using Version 1.4 of the TI-Nspire Computer Software – Teacher Edition and will also run on the CAS Computer Software. They can be downloaded from: http://wps.aw.com/aw_bock_statsmodworld_3/ John F. Mahoney, Benjamin Banneker Academic HS, Washington, DC [email protected]