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Additional problems compute variance, study properties of linear congruential and Tausworthe generators, transform uniform variates into normal, exponential, Erlang, and other target distributions, and apply inverse transform and Box-Muller techniques.",{"@graph":14,"@context":72},[15,34,55],{"@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/csf-in2027-test-2-practice-questions-summer-2016/442146/",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/csf-in2027-test-2-practice-questions-summer-2016/442146.png","ImageObject",300,407,{"name":42,"@type":43},"Bulrr","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-13","2026-09-29",true,{"@type":52,"interactionType":53,"userInteractionCount":33},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What does the practice test ask about Arena simulation, in general?","Question",{"text":62,"@type":63},"It assesses whether key Arena concepts behave as expected, using true/false statements and short expression-related questions about arrivals, events, queues, and attributes.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"Which random-number generators are used in the questions?",{"text":67,"@type":63},"The test covers linear congruential generators, von Neumann’s midsquare method, and Tausworthe generators, including computing specific pseudo-random outputs.",{"name":69,"@type":60,"acceptedAnswer":70},"How are PRNs converted into target distributions in this set?",{"text":71,"@type":63},"The questions use inverse transform methods to produce realizations from specified PDFs/CDFs and use the Box-Muller method to generate normal variates.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},442146,1791527346,{"code":4,"msg":81,"data":82},"success",[83,87,91,94,99,104,109,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":92,"slug":93},70,"exam",{"id":95,"doc_module":4,"doc_module_name":25,"category_name":96,"show_sort_weight":97,"slug":98},5,"Comic",60,"comic",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},6,"Technology",50,"technology",{"id":105,"doc_module":4,"doc_module_name":25,"category_name":106,"show_sort_weight":107,"slug":108},7,"Healthcare",40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},8,"Research & Report",30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":95,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":33,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":33,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":112},5909892115043,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","1  \nNAME !  \nCSF IN2027 | Test 2 Practice Questions  \nSummer 2016  \n1. TRUE or FALSE? It is possible for two events to occur at precisely the same time.  \nSolution: TRUE. 2  \n2. TRUE or FALSE? It is possible to remove an event from the future events list before that event actually occurs.  \nSolution: TRUE. 2  \n3. TRUE or FALSE? From the user's point of view, Arena is a \\process-interaction\"simulation language.  \nSolution: TRUE. 2  \n4. TRUE or FALSE? Deep down inside Arena, it is an event-scheduling language.  \nSolution: TRUE. 2  \n5. TRUE or FALSE? In Arena, it is possible to have multiple arrivals occur at the same time.  \nSolution: TRUE. 2  \n6. Which template do you need to access the Expression \\spreadsheet\" in an Arena program?  \n(a) Basic Process.  \n(b) Basic Transfer.  \n2  \n(c) Advanced Process.  \n(d) Advanced Transfer.  \nSolution: (c) Advanced Process. 2  \n7. Consider the Arena expression DISC(0.2,0.5,0.7,0.8,1.0,2) . What is the probability that this expression will generate a value of 0.7?  \nSolution: 0. It only generates 0.5 with probability 0.2, 0.8 with probability 0.5, and 2 with probability 0.3 . 2  \n8. What is the Arena expression for an exponential random variable with a mean of 5?  \nSolution: EXPO(5) . 2  \n9. TRUE or FALSE? If an entity attempts to pass through an Arena QUEUE block that is 􀀌lled to capacity, it is instead denied entry and is held back at the previous block.  \nSolution: FALSE | it's either killed o􀀋 or diverted elsewhere. 2  \n10. TRUE or FALSE? It is possible for a particular Arena resource to be a member of multiple service sets.  \nSolution: TRUE. 2  \n11. TRUE or FALSE? An Arena attribute is global.  \nSolution: FALSE. 2  \n12. TRUE or FALSE? An Arena ASSIGN block can assign values to attributes and variables.  \nSolution: TRUE. 2  \n3  \n13. What is the variance of the random variable generated by the ARENA function NORM(7,2)?  \n14. Consider the linear congruential generator Xi+1 = (7Xi + 3)mod(8) . Using X0 = 0, calculate the 􀀌rst pseudo-random number U1 .  \nSolution: 3/8 . 2  \n15. Consider the linear congruential generator Xi+1 = (7Xi + 3)mod(8) . Using X0 = 0, calculate the pseudo-random number U801 .  \nSolution: X0 = 0; X1 = 3; X2 = 0 ; : : : ) X801 = 3 ) U801 = 3=8. 2  \n16. Consider the generator Xi = 16807 Xi􀀀1mod(231 􀀀1) . If X0 = 5432112345, 􀀌nd X1 .  \nSolution: By some careful calculations (making sure that you don't lose signi􀀌cant digits), you get X1 = 1,539,897,504 . 2  \n17. TRUE or FALSE? von Neumann's midsquare Unif(0,1) generator is generally regarded as acceptable.  \nSolution: FALSE. 2  \n18. TRUE or FALSE? The (really bad) PRN generator Xi+1 = (Xi + 1) mod(128) has full period.  \nSolution: TRUE | and you should make sure that you can 􀀌gure out why it's so bad. 2  \n19. What is the value of (1 XOR 1) XOR (1 XOR 1)? You may need to look up the de􀀌nition of XOR in the Tausworthe random number generation notes.  \nSolution:  \n(1 XOR 1) XOR (1XOR 1) = 0 XOR 0 = 0: 2  \n4  \n20. Consider 􀀌ve pseudo-random numbers R 1 ; R2 ; R3 ; R4 ; R5 . Under the assumption of i.i.d. uniformity, what's the probability that R 1 \u003C R4 \u003C R3 \u003C R2 \u003C R5 ?  \nSolution: Since this is an arbitrary ordering, the probability is 1=5! = 1=120. 2  \n21. Consider a Tausworthe generator with r = 1, q = 3, and B 1 = B2 = B3 = 1 . Find B707 . You may need to look up the de􀀌nition of the Tausworthe random number generator.  \nSolution: Bi = (Bi􀀀r + Bi􀀀q)mod(2) = (Bi􀀀1 + Bi􀀀3)mod(2) . Then, B4 = 0; B5 = 1; B6 = 0; B7 = 0; B8 = 1; B9 = 1; B10 = 1 . Starts repeating itself after the 2q􀀀1 = 7th bit. Hence, B707 = B700 = 􀀁 􀀁 􀀁 = B7 = 0 . 2  \n22. TRUE or FALSE? The PRN's generated from an LCG fall mainly on the hyperplanes.  \nSolution: TRUE. 2  \n23. Suppose that X 􀀘 Nor(0 ; 1) with c.d.f. 􀀈(x) and U 􀀘 Unif(0 ; 1) . What is the distribution of 3􀀈 􀀀1(U) + 1?  \nSolution: 3Nor(0,1) + 1 = Nor(1,9) . 2  \n24. Suppose I conduct a runs up-and-down test with n = 200 PRN's. What is the (approximate) expected number of runs? Look at the random num","cbCaiqMSojUsjoGt","https://ap.wps.com/l/cbCaiqMSojUsjoGt","pdf",167168,12,"English","# TRUE or FALSE?\n## Arena simulation concepts and properties\n# Arena expressions and probability calculations\n## Template access and distribution expressions\n# Pseudorandom generators and statistical properties\n## LCG, midsquare, and Tausworthe\n# Distribution transformations from PRNs\n## Inverse transform and Box-Muller\n# Runs up-and-down test\n## Expected runs and counting runs","[{\"question\":\"What does the practice test ask about Arena simulation, in general?\",\"answer\":\"It assesses whether key Arena concepts behave as expected, using true/false statements and short expression-related questions about arrivals, events, queues, and attributes.\"},{\"question\":\"Which random-number generators are used in the questions?\",\"answer\":\"The test covers linear congruential generators, von Neumann’s midsquare method, and Tausworthe generators, including computing specific pseudo-random outputs.\"},{\"question\":\"How are PRNs converted into target distributions in this set?\",\"answer\":\"The questions use inverse transform methods to produce realizations from specified PDFs/CDFs and use the Box-Muller method to generate normal variates.\"}]","CSF IN2027 - Test 2 Practice Questions - Summer 2016 | PDF",1790699193]