[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-186648-en":3,"doc-seo-186648-105":30,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":20,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},186648,687208528416,"Cipher","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",4,"Exam","Schedule for APPM 4570/5570 - Statistical Methods - Summer 2017","Course schedule for APPM 4570/5570 (Statistical Methods) in Summer 2017, organized by week and class date. Covers exploratory data analysis, probability theory, discrete and continuous probability density functions, probability distribution functions, and key concepts such as expectation, variance, and covariance. Progresses to the central limit theorem and statistical inference, then introduces confidence intervals and hypothesis testing, including error types, power, rejection regions, and p-values. Concludes with confidence intervals and tests for population mean and variance, linear regression, multiple linear regression, logistic regression, ANOVA, experimental design, and two in-class exams with homework deadlines and a final project submission.","| Schedule for APPM 4570/5570 (Statistical Methods)\u003Cbr>Summer 2017\u003Cbr>• Text: Probability and Statistics with R, 2nd ed., Maria Dolores Ugarte, Ana F. Militino,and Alan T. Arnholt\u003Cbr>• Optional Text: Probability and Statistics for Engineering and the Sciences,8th ed., Jay Devore |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Week | Date | Unit | Topic | Reading Due | Assignments\u003Cbr>Due |\n|  | Tue, Jun 6 | Intro/Exploratory Data Analysis | I/O, DataFrames/Pandas,\u003Cbr>data cleaning | None |  |\n| 1 | Wed, Jun 7 | Intro/Exploratory Data Analysis | Data visualization, summary statistics | 2.1, 2.2, 2.5, 2.6.1, 2.6.3, 2.6.4 |  |\n|  | Thu, Jun 8 | Introductory Probability\u003Cbr>Theory | Counting techniques, axioms and theorems of probability | 3. 1, 3.2, 3.3 |  |\n| 2 | Tue, Jun 13 | Introductory Probability\u003Cbr>Theory | Counting techniques, axioms and theorems of probability | 3.3 (continued), 3.4.1 | HW \\#1 due\u003Cbr>Thursday |\n|  | Wed, Jun 14 | Introductory Probability Theory/Probability Density Functions (pdfs) | Intro to pdfs/Discrete RVs | 3.4.2, 4.1 |  |\n|  | Thu, Jun 15 | Probability Distribution Functions | Dicrete RVs/probability mass\u003Cbr>functions | 4. 1, 4.2 |  |\n|  | Tue, Jun 20 | Probability Density Functions | Continuous RVs/pdfs | 4.2, 4.3 |  |\n| 3 | Wed, Jun 21 | Probability Density Functions | Continuous RVs/pdfs | 4.3 | HW \\#2 due\u003Cbr>Thursday |\n|  | Thu, Jun 22 | Expectation, Variance, Covariance | discrete expectation, variance | 3.4. 1, 3.4.2 |  |\n| 4 | Tue, Jun 27 | Covariance, Normal Distribution, CLT | continuous expectation, variance | 4.3, 6.4, 6.5 | Exam \\#1:\u003Cbr>Thursday\u003Cbr>June 29 |\n|  | Wed, Jun 28 | CLT, Intro to Statistical\u003Cbr>Inference | Central Limit Theorem, intro to statistics | 6.5, 6.1. 1, 6.2 |  |\n|  | Thu, Jun 29 | CLT/ Exam | Central Limit Theorem | 6.1. 1, 6.2 |  |\n|  | Tue, Jul 4 | CLT/Statistical Inference | Central Limit Theorem/Intro\u003Cbr>to statistics | 6.1. 1, 6.2 |  |\n| 5 | Wed, Jul 5 | NO CLASS | NO CLASS |  | HW \\#3 due\u003Cbr>Thursday |\n|  | Thu, Jul 6 | Confidence Intervals | Intro to Cis, CIs for pop.\u003Cbr>mean | 8. 1, 8.2, 8.3 |  |\n\n\n| 6 | Tue, Jul 11 | Confidence Intervals/Hypothesis Testing | CIs for variance | 8. 1, 8.2, 8.3 | HW \\#4 due\u003Cbr>Thursday |\n| --- | --- | --- | --- | --- | --- |\n|  | Wed, Jul 12 | Hypothesis Testing | Intro to testing, error types, power, critical values, rejection regions | 9.1-9.3, 9.5-9.9 |  |\n|  | Thu, Jul 13 | Hypothesis Testing | p-values, tests for pop. mean and variance. | 9.1-9.3, 9.5-9.9 |  |\n|  | Tue, Jul 18 | Simple Linear Regression | Intro, Ordinary Least Squares, properties | 12. 1, 12.2, 12.4, 12.5 |  |\n| 7 | Wed, Jul 19 | Multiple Linear Regression | Intro, Ordinary Least Squares, properties (For MLR) | 12.1-12.5 | HW \\#5 due\u003Cbr>Thursday |\n|  | Thu, Jul 20 | Multiple Linear Regression/Logistic\u003Cbr>Regression | CIs/Tests for Parameters, Logistic Regression | 12.1-12.5; 12.11.2 |  |\n| 8 | Tue, Jul 25 | ANOVA | ANOVA as MLR | 12.9 | Exam \\#2:\u003Cbr>Thurs July\u003Cbr>27; Project\u003Cbr>due Thurs\u003Cbr>July 27 |\n|  | Wed, Jul 26 | ANOVA/Experimental Design | ANOVA as MLR/Intro to ED | 12.9/TBA |  |\n|  | Thu, Jul 27 | Exam |  |  |  |","cbCaibkGzXh9K8ln","https://ap.wps.com/l/cbCaibkGzXh9K8ln","pdf",82186,2,1,"English","en",105,"# Week 1\n## Intro/Exploratory Data Analysis\n## Introductory Probability Theory\n# Week 2\n## Counting techniques and probability axioms\n## Probability Density Functions (Discrete and Continuous)\n# Week 3\n## Expectation, Variance, and Covariance\n## Continuous RVs and HW deadlines\n# Week 4\n## Covariance, Normal Distribution, CLT\n## CLT and Intro to Statistical Inference\n# Week 5\n## No Class\n## Confidence Intervals\n# Week 6\n## Confidence Intervals and Hypothesis Testing\n## Hypothesis Testing fundamentals and p-values\n# Week 7\n## Simple Linear Regression\n## Multiple Linear Regression and Logistic Regression\n# Week 8\n## ANOVA and Experimental Design\n## Exam","[{\"question\":\"What major topics are covered in Week 1 and Week 2?\",\"answer\":\"Week 1 focuses on exploratory data analysis and introductory probability theory. Week 2 continues probability theory and introduces probability density functions for discrete and then continuous random variables.\"},{\"question\":\"When are homework assignments due and which units do they follow?\",\"answer\":\"Homework deadlines are listed alongside specific sessions: HW #1 after the Week 2 probability theory continuation, HW #2 after a continuous pdf session in Week 3, HW #3 after the Week 5 no-class period, HW #4 after a confidence interval/hypothesis testing session in Week 6, and HW #5 after multiple linear regression content in Week 7.\"},{\"question\":\"What assessments are included in the schedule?\",\"answer\":\"The schedule includes Exam #1 in late June (Thursday June 29) and Exam #2 in late July (Thursday July 27), plus a project due on Thursday July 27.\"}]","Schedule for APPM 4570/5570 - Statistical Methods - Summer 2017 | PDF",1788375699,5,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":28},"schedule-for-appm-45705570-statistical-methods-summer-2017","",{"@graph":36,"@context":84},[37,52,67],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,47,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":20},"https://docshare.wps.com/document/","Document",{"item":48,"name":12,"@type":43,"position":49},"https://docshare.wps.com/document/exam/",3,{"item":51,"name":13,"@type":43,"position":11},"https://docshare.wps.com/document/schedule-for-appm-45705570-statistical-methods-summer-2017/186648/",{"url":51,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"inLanguage":23,"description":14,"dateModified":60,"datePublished":61,"encodingFormat":59,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":41,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-09-05","2026-09-02",true,{"@type":64,"interactionType":65,"userInteractionCount":20},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"What major topics are covered in Week 1 and Week 2?","Question",{"text":74,"@type":75},"Week 1 focuses on exploratory data analysis and introductory probability theory. Week 2 continues probability theory and introduces probability density functions for discrete and then continuous random variables.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"When are homework assignments due and which units do they follow?",{"text":79,"@type":75},"Homework deadlines are listed alongside specific sessions: HW #1 after the Week 2 probability theory continuation, HW #2 after a continuous pdf session in Week 3, HW #3 after the Week 5 no-class period, HW #4 after a confidence interval/hypothesis testing session in Week 6, and HW #5 after multiple linear regression content in Week 7.",{"name":81,"@type":72,"acceptedAnswer":82},"What assessments are included in the schedule?",{"text":83,"@type":75},"The schedule includes Exam #1 in late June (Thursday June 29) and Exam #2 in late July (Thursday July 27), plus a project due on Thursday July 27.","https://schema.org",{"og:url":51,"og:type":86,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":88,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":91},[92,96,100,103,107,112,117,122,127,130,134],{"id":21,"doc_module":4,"doc_module_name":46,"category_name":93,"show_sort_weight":94,"slug":95},"Story & Novel",90,"story-novel",{"id":20,"doc_module":4,"doc_module_name":46,"category_name":97,"show_sort_weight":98,"slug":99},"Literature",80,"literature",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":101,"slug":102},70,"exam",{"id":29,"doc_module":4,"doc_module_name":46,"category_name":104,"show_sort_weight":105,"slug":106},"Comic",60,"comic",{"id":108,"doc_module":4,"doc_module_name":46,"category_name":109,"show_sort_weight":110,"slug":111},6,"Technology",50,"technology",{"id":113,"doc_module":4,"doc_module_name":46,"category_name":114,"show_sort_weight":115,"slug":116},7,"Healthcare",40,"healthcare",{"id":118,"doc_module":4,"doc_module_name":46,"category_name":119,"show_sort_weight":120,"slug":121},8,"Research & Report",30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":29,"slug":137},19,"General","general"]