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It specifies cognitive levels and the weight distribution across four domains: Introduction to Credibility, Linear Mixed Models, Statistical Learning, and Time Series with Constant Variance, alongside task lists for credibility-weighted estimates, linear mixed model assumptions and diagnostics, core learning algorithms, and ARIMA modeling and forecasting.",{"@graph":14,"@context":77},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/exam/","Exam",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/modern-actuarial-statistics-ii-mas-ii-exam-content-outline/399073/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/modern-actuarial-statistics-ii-mas-ii-exam-content-outline/399073.png","ImageObject",300,407,{"name":42,"@type":43},"Mia  ","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-28","2026-09-27",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",8,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69,73],{"name":60,"@type":61,"acceptedAnswer":62},"What exam item types are covered in MAS-II?","Question",{"text":63,"@type":64},"MAS-II may include multiple choice, multiple selection, point and click, fill in the blank, and matching item types.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How are cognitive levels used in MAS-II exam questions?",{"text":68,"@type":64},"Each task is written to address a specific cognitive level, with four levels used across ACAS and FCAS: Remember 5–10%, Understand and Apply 55–60%, Analyze and Evaluate 35–40%, and Create 0–5%.",{"name":70,"@type":61,"acceptedAnswer":71},"What percentage weights are assigned to each MAS-II domain?",{"text":72,"@type":64},"The domains are weighted as follows: A Introduction to Credibility (15–25%), B Linear Mixed Models (10–20%), C Statistical Learning (40–50%), and D Time Series with Constant Variance (15–25%).",{"name":74,"@type":61,"acceptedAnswer":75},"What topics are included under Statistical Learning and Time Series?",{"text":76,"@type":64},"Statistical Learning includes KNN, decision tree pruning, summary statistics (e.g., Gini, entropy, RSS), PCA computations and interpretation, clustering computations and outputs, neural network results, and predictive accuracy measures. Time Series with Constant Variance focuses on ARIMA applications, trends/seasonality modeling, and interpreting forecasts and model outputs.","https://schema.org",{"og:url":32,"og:type":79,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":81,"canonical":32},"index,follow",{"doc_id":83,"site_id":7},399073,1790554888,{"code":4,"msg":86,"data":87},"success",[88,92,96,99,104,109,114,118,123,126,130],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":97,"slug":98},70,"exam",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},5,"Comic",60,"comic",{"id":105,"doc_module":4,"doc_module_name":25,"category_name":106,"show_sort_weight":107,"slug":108},6,"Technology",50,"technology",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},7,"Healthcare",40,"healthcare",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},"Research & Report",30,"research-report",{"id":119,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":121,"slug":122},9,"Religion & Spirituality",20,"religion-spirituality",{"id":121,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":121,"slug":125},"World Cup","world-cup",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":127,"slug":129},10,"Lifestyle","lifestyle",{"id":131,"doc_module":4,"doc_module_name":25,"category_name":132,"show_sort_weight":100,"slug":133},19,"General","general",{"code":4,"msg":86,"data":135},{"doc_id":83,"user_id":136,"nickname":42,"user_avatar":137,"doc_module":4,"category_id":33,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":110,"language":143,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":144,"faqs":145,"seo_title":146,"seo_description":12,"update_tm":147,"read_time":148,"preview_page_count":4},687207024478,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Exam Content Outline  \nModern Actuarial Statistics II (MAS-II)  \nDelivery Format  \n\n| APPOINTMENT TIME: 4.5 HOURS |  |  |\n| --- | --- | --- |\n| Exam Duration | Scheduled Break | Exam Tutorial, Confidentiality Agreement, End of Exam Survey |\n| 4 hours | 15 min | 15 min |\n\nExam Item Types  \nCandidates may see the following item types in the CAS examinations. Candidates should become familiar with these item types. Item type samples are available on the Pearson Vue CAS webpage.  \nMultiple Choice  \nMultiple answer choices are presented after a problem with only one correct answer.  \nMultiple Selection  \nMultiple answer choices are presented after a problem with more than one correct answer.  \nPoint and Click  \nAn image is presented after a problem where the candidate must identify the correct area of the image by clicking on the correct location in the image.  \nFill in the Blank  \nOne or more blank sections are presented after the problem or within a statement where the candidate must input the correct response(s) .  \nMatching  \nContent columns presented after a problem where the candidate must correctly match content from one column to another.  \nExam Cognitive Level  \nEach task is tied to a certain type of mental operation or thinking skill, which is called the cognitive level. ACAS and FCAS use four cognitive levels, and every examination item is authored to address both the task and one of the following cognitive levels paired with that task.  \nRemember: 5-10%  \nTests the ability of the candidate to recall or remember knowledge or facts.  \nUnderstand and Apply: 55-60%  \nMeasures the candidate’s ability to understand and apply ideas and concepts to new situations.  \nAnalyze and Evaluate: 35-40%  \nRequires the candidate analyze information, combine concepts/ideas, and justify a position resulting from that combination.  \nCreate: 0-5%  \nRequires the candidate to synthesize conclusions by evaluating the validity of ideas and concepts.  \nExam Section Details  \n\n| DOMAINS | DOMAIN WEIGHT |\n| --- | --- |\n| A. Introduction to Credibility | 15-25% |\n| B. Linear Mixed Models | 10-20% |\n| C. Statistical Learning | 40-50% |\n| D. Time Series with Constant Variance | 15-25% |\n\nA. Introduction to Credibility  \nCandidates should understand and be able to calculate credibility weighted estimates.  \n\n| TASKS |\n| --- |\n| 1. Calculate classical (limited fluctuation), Bühlmann, Bühlmann-Straub, and Bayesian credibilityweighted estimates for frequency, severity, and aggregate loss |\n| 2. Understand the framework used for the classical (limited fluctuation), Bühlmann, BühlmannStraub, and Bayesian credibility procedures |\n| Readings:\u003Cbr>-Tse |\n\nB. Linear Mixed Models  \nCandidates should understand the structure of linear mixed models, including how to accommodate models with correlated observations or models where the variance is either not assumed to be constant or a function of the mean.  \n\n| TASKS |\n| --- |\n| 1. Understand the assumptions behind the linear mixed model design |\n| 2. Understand how to use a hierarchical model |\n| 3. Interpret output from a linear mixed model and make appropriate choices when evaluating modeling options |\n| 4. Interpret linear mixed model diagnostics and summary statistics to evaluate the linear mixed model structure and variable selection |\n| Readings:\u003Cbr>-West |\n\nC. Statistical Learning  \nCandidates should understand the mechanics of the algorithms identified in the tasks below and recognize their inherent strengths and weaknesses to be able to select the most appropriate procedure for the learning task at hand.  \n\n| TASKS |\n| --- |\n| 1. Compute K-nearest neighbors (KNN) |\n| 2. Prune decision trees |\n| 3. Calculate the summary statistics for a set decision of trees (e.g., Gini index, entropy, residual sum of squares) |\n| 4. Understand the assumptions underlying different tree ensemble methods and the improvements they can make to decision trees |\n| 5. Compute elements of principal components analysis (PCA) (e. g., ","cbCaiqkhWcpP4MBj","https://ap.wps.com/l/cbCaiqkhWcpP4MBj","pdf",194351,"English","# Delivery Format\n# Exam Item Types\n# Exam Cognitive Level\n# Exam Section Details\n## A. Introduction to Credibility\n## B. Linear Mixed Models\n## C. Statistical Learning\n## D. Time Series with Constant Variance\n# Complete Text References for Exam MAS-II","[{\"question\":\"What exam item types are covered in MAS-II?\",\"answer\":\"MAS-II may include multiple choice, multiple selection, point and click, fill in the blank, and matching item types.\"},{\"question\":\"How are cognitive levels used in MAS-II exam questions?\",\"answer\":\"Each task is written to address a specific cognitive level, with four levels used across ACAS and FCAS: Remember 5–10%, Understand and Apply 55–60%, Analyze and Evaluate 35–40%, and Create 0–5%.\"},{\"question\":\"What percentage weights are assigned to each MAS-II domain?\",\"answer\":\"The domains are weighted as follows: A Introduction to Credibility (15–25%), B Linear Mixed Models (10–20%), C Statistical Learning (40–50%), and D Time Series with Constant Variance (15–25%).\"},{\"question\":\"What topics are included under Statistical Learning and Time Series?\",\"answer\":\"Statistical Learning includes KNN, decision tree pruning, summary statistics (e.g., Gini, entropy, RSS), PCA computations and interpretation, clustering computations and outputs, neural network results, and predictive accuracy measures. Time Series with Constant Variance focuses on ARIMA applications, trends/seasonality modeling, and interpreting forecasts and model outputs.\"}]","Modern Actuarial Statistics II (MAS-II) - Exam Content Outline | PDF",1790492338,18]