https://shaobohan.net/courses/sta111su18/ 📊 STA 111: Probability and Statistical Inference Wowchemy (https://wowchemy.com)en-us© 2025 Shaobo HanFri, 24 Aug 2018 00:00:00 +0000 https://shaobohan.net/courses/sta111su18/featured.png https://shaobohan.net/courses/sta111su18/ https://shaobohan.net/courses/sta111su18/lectures/ Fri, 24 Aug 2018 00:00:00 +0000 https://shaobohan.net/courses/sta111su18/lectures/ <h2 id="lecture-slides">Lecture Slides</h2> <ul> <li><a href="https://shaobohan.net/sta111/Lec1.pdf"> Lecture 1: Introduction </a></li> <li><a href="https://shaobohan.net/sta111/Lec2.pdf"> Lecture 2: Introduction to Probability </a></li> <li><a href="https://shaobohan.net/sta111/Lec3.pdf"> Lecture 3: Basic Counting and Conditional Probability </a></li> <li><a href="https://shaobohan.net/sta111/Lec4.pdf"> Lecture 4: Independent Events and Bayes&rsquo; Theorem </a></li> <li><a href="https://shaobohan.net/sta111/Lec5.pdf"> Lecture 5: Random Variables </a></li> <li><a href="https://shaobohan.net/sta111/Lec6.pdf"> Lecture 6: Expectation </a></li> <li><a href="https://shaobohan.net/sta111/Lec7.pdf"> Lecture 7: Normal Distribution </a></li> <li><a href="https://shaobohan.net/sta111/Lec8.pdf"> Lecture 8: Miscellaneous Topics on Probability </a></li> <li><a href="https://shaobohan.net/sta111/Lec9.pdf"> Lecture 9: Large Random Samples </a></li> <li><a href="https://shaobohan.net/sta111/Lec10.pdf"> Lecture 10: Estimation </a></li> <li><a href="https://shaobohan.net/sta111/Lec11.pdf"> Lecture 11: Maximum Likelihood Estimation </a></li> <li><a href="https://shaobohan.net/sta111/Lec12MidRev.pdf"> Lecture 12: Midterm Review </a></li> <li><a href="https://shaobohan.net/sta111/Lec13.pdf"> Lecture 13: Introduction to Data </a></li> <li><a href="https://shaobohan.net/sta111/Lec14.pdf"> Lecture 14: Confidence Intervals: One Group </a></li> <li><a href="https://shaobohan.net/sta111/Lec15.pdf"> Lecture 15: Confidence Intervals: Two Groups </a></li> <li><a href="https://shaobohan.net/sta111/Lec16.pdf"> Lecture 16: Testing Hypotheses </a></li> <li><a href="https://shaobohan.net/sta111/Lec17.pdf"> Lecture 17: Inference using the t distribution </a></li> <li><a href="https://shaobohan.net/sta111/Lec18.pdf"> Lecture 18: Decision Errors and Power of a Test </a></li> <li><a href="https://shaobohan.net/sta111/Lec19.pdf"> Lecture 19: Inference for Categorical Data </a></li> <li><a href="https://shaobohan.net/sta111/Lec20.pdf"> Lecture 20: Chi-square Tests </a></li> <li><a href="https://shaobohan.net/sta111/Lec21.pdf"> Lecture 21: Small Sample Inference, One-way ANOVA </a></li> <li><a href="https://shaobohan.net/sta111/Lec22.pdf"> Lecture 22: Simple Linear Regression and Least Squares </a></li> <li><a href="https://shaobohan.net/sta111/Lec23.pdf"> Lecture 23: Residual Analysis and Type of Outliers </a></li> <li><a href="https://shaobohan.net/sta111/Lec24.pdf"> Lecture 24: Inference for Linear Regression </a></li> <li><a href="https://shaobohan.net/sta111/Lec25.pdf"> Lecture 25: Multiple Linear Regression </a></li> <li><a href="https://shaobohan.net/sta111/Lec26.pdf"> Lecture 26: Model Selection and Regression Diagnostics </a></li> <li><a href="https://shaobohan.net/sta111/Lec27.pdf"> Lecture 27: Final Review </a></li> </ul> https://shaobohan.net/courses/sta111su18/labs/ Fri, 24 Aug 2018 00:00:00 +0000 https://shaobohan.net/courses/sta111su18/labs/ <h2 id="labs">Labs</h2> <ul> <li> <p><a href="https://shaobohan.net/sta111/Lab1.pdf"> Lab 1: Introduction to R, RStudio, and R Markdown </a></p> </li> <li> <p><a href="https://shaobohan.net/sta111/Lab2.pdf"> Lab 2: Probability: Hot Hand in Basketball </a></p> </li> <li> <p><a href="https://shaobohan.net/sta111/Lab3.pdf"> Lab 3: Visualizing Distribution Approximations </a></p> </li> <li> <p><a href="https://shaobohan.net/sta111/Lab4.pdf"> Lab 4: Sampling Distributions of Estimators </a></p> </li> <li> <p><a href="https://shaobohan.net/sta111/Lab5.pdf"> Lab 5: Confidence Interval </a></p> </li> <li> <p><a href="https://shaobohan.net/sta111/Lab6.pdf"> Lab 6: Bootstrap Method </a></p> </li> <li> <p><a href="https://shaobohan.net/sta111/Lab7.pdf"> Lab 7: Inference for Numerical Data </a></p> </li> <li> <p><a href="https://shaobohan.net/sta111/Lab8.pdf"> Lab 8: Inference for Categorical Data </a></p> </li> </ul> https://shaobohan.net/courses/sta111su18/homeworks/ Fri, 24 Aug 2018 00:00:00 +0000 https://shaobohan.net/courses/sta111su18/homeworks/ <h2 id="homework-assignments">Homework Assignments</h2> <ul> <li><a href="https://shaobohan.net/sta111/HW1.pdf"> Homework 1 </a></li> <li><a href="https://shaobohan.net/sta111/HW2.pdf"> Homework 2 </a></li> <li><a href="https://shaobohan.net/sta111/HW3.pdf"> Homework 3 </a></li> <li><a href="https://shaobohan.net/sta111/HW4.pdf"> Homework 4 </a></li> <li><a href="https://shaobohan.net/sta111/HW5.pdf"> Homework 5 </a></li> <li><a href="https://shaobohan.net/sta111/HW6.pdf"> Homework 6 </a></li> <li><a href="https://shaobohan.net/sta111/HW7.pdf"> Homework 7 </a></li> <li><a href="https://shaobohan.net/sta111/HW8.pdf"> Homework 8 </a></li> <li><a href="https://shaobohan.net/sta111/HW9&amp;10.pdf"> Homework 9 &amp; 10 </a></li> </ul> https://shaobohan.net/courses/sta111su18/resources/ Fri, 24 Aug 2018 00:00:00 +0000 https://shaobohan.net/courses/sta111su18/resources/ <h2 id="resources">Resources</h2> <p>Tables:</p> <ul> <li><a href="https://shaobohan.net/sta111/Binomial_and_Poisson_Cummulative_Tables.pdf"> Binomial and Poisson Cumulative Tables </a></li> <li><a href="https://shaobohan.net/sta111/z-table.pdf"> Normal Probability Table </a></li> <li><a href="https://shaobohan.net/sta111/t-table.pdf"> t Probability Table </a></li> <li><a href="https://shaobohan.net/sta111/chisquare-table.pdf"> Chi-square Probability Table </a></li> <li><a href="https://shaobohan.net/sta111/F_Table.pdf"> F Table </a></li> </ul> <p>R Homepage: <a href="https://www.r-project.org/" target="_blank" rel="noopener">https://www.r-project.org/</a></p> <p>RStudio: <a href="https://www.rstudio.com/products/rstudio/" target="_blank" rel="noopener">https://www.rstudio.com/products/rstudio/</a></p> <p>R Shiny: <a href="http://shiny.rstudio.com/" target="_blank" rel="noopener">http://shiny.rstudio.com/</a></p> <p>R Markdown: <a href="https://rmarkdown.rstudio.com/" target="_blank" rel="noopener">https://rmarkdown.rstudio.com/</a></p> <p>R Tutorial: <a href="http://www.cyclismo.org/tutorial/R/" target="_blank" rel="noopener">http://www.cyclismo.org/tutorial/R/</a></p> <p>Intro to R Markdown: <a href="http://rpubs.com/andrew-cho/303981" target="_blank" rel="noopener">http://rpubs.com/andrew-cho/303981</a></p> <p>Quick-R: A handy reference for R: <a href="https://www.statmethods.net/" target="_blank" rel="noopener">https://www.statmethods.net/</a></p> <p>Rseek: A search engine for relevant R sites: <a href="https://rseek.org/" target="_blank" rel="noopener">https://rseek.org/</a></p> <p>Corrections to Probability and Statistics 4 ed.: <a href="http://www.stat.cmu.edu/~mark/degroot/typos/typos.html" target="_blank" rel="noopener">http://www.stat.cmu.edu/~mark/degroot/typos/typos.html</a></p>