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Expected question formats include true/false, matching, homework-style multistep prompts, and StatKey lab-style output based on real data.",{"@graph":14,"@context":73},[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/practice-exam-1-math-146-practice-s22/268566/",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/practice-exam-1-math-146-practice-s22/268566.png","ImageObject",300,407,{"name":42,"@type":43},"Graffin","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-23","2026-09-15",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",15,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What are the exam timing and allowed materials for Exam #1 (S22)?","Question",{"text":63,"@type":64},"Students have 50 minutes to complete Exam #1. Only pencil/pen and paper are allowed; no other exam resources can be used.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which topics are included in Exam #1?",{"text":68,"@type":64},"Topics cover data basics; univariate graphs and summaries; bivariate graphs and summaries including contingency tables, scatterplots, correlation, and regression; sampling and confidence intervals; and study design with confounding variables and the benefits of random assignment.",{"name":70,"@type":61,"acceptedAnswer":71},"What question formats should students expect?",{"text":72,"@type":64},"The exam includes true/false statements, a definitions/methods matching question, a homework-style multistep scenario prompt, and a lab-style question using screenshots of StatKey output with real data.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},268566,1789432368,{"code":4,"msg":82,"data":83},"success",[84,88,92,95,100,105,110,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":93,"slug":94},70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":112,"show_sort_weight":113,"slug":114},8,"Research & Report",30,"research-report",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":25,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":128,"doc_module":4,"doc_module_name":25,"category_name":129,"show_sort_weight":96,"slug":130},19,"General","general",{"code":4,"msg":82,"data":132},{"doc_id":79,"user_id":133,"nickname":42,"user_avatar":134,"doc_module":4,"category_id":33,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":101,"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":80,"read_time":55},3573418547284,"https://eur-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Math-146-Exam \\#1-Practice (S22)  \nGeneral Information  \n• You will have 50 minutes to complete Exam \\#1  \n• You are not allowed to use anything on the exam besides a pencil/pen and paper  \n• The first page of the exam will be a formula sheet. It will be the exact same set of formulas given on the practice exam.  \nExam topics  \n1) Data basics-cases, variables, variable types  \n2) Univariate graphs and summaries-frequencies/proportions, barcharts, dotplots/histograms, shape, center (mean/median), spread (standard deviation/range/IQR), and boxplots/five number summaries  \n3) Bivariate graphs and summaries-contingency tables, conditional proportions, stacked barcharts, side-by-side graphs, comparative summaries, scatterplots, correlation, regression, ecological fallacy, and extrapolation  \n4) Sampling and confidence intervals-sampling bias and sampling variability, standard deviation vs. standard error, sampling distributions, bootstrapping and bootstrap distributions, confidence intervals via the 2-SE and percentile methods, confidence intervals using SE formulas  \n5) Study design and confounding variables - observational studies vs. experiments, confounding variables, benefits of random assignment  \nTypes of content to expect  \n• 1 question consisting of several true/false statements  \n• 1 question involving matching of definitions or methods  \n• 1 question resembling those on the homework (ie: a prompt with several parts)  \n• 1 question resembling those on in-class labs (ie: screenshots of StatKey output involving real data)  \nFormulas  \nTable of Statistical Notation:  \n\n|  | Population Parameter | Estimate (from sample) |\n| --- | --- | --- |\n| Mean\u003Cbr>Standard Deviation | µσ | ¯x\u003Cbr>s |\n| Proportion | p | ˆp |\n| Correlation | ρ | r |\n| Regression | β0 , β1 | b0 , b 1 |\n\nTable of Standard Error Formulas:  \nEstimate Standard Error CLT Conditions  \n\n| ˆp\u003Cbr>¯x\u003Cbr>ˆp1 − ˆp2\u003Cbr>¯x1 − ¯x2\u003Cbr>r | qp~~ ~~(1p)  σ   √ n  qp1~~ ~~(~~ ~~1−n~~ ~~1p1~~ ~~) + p2~~ ~~(~~ ~~1−n~~ ~~2p2~~ ~~)\u003Cbr>q σn211 + σn222 q ~~ ~~ρ22 | np ≥ 10 and n(1 − p) ≥ 10\u003Cbr>normal population or n ≥ 30 nipi ≥ 10 and ni (1 − pi) ≥ 10 for i ∈ {1, 2} normal populations or n 1 ≥ 30 and n2 ≥ 30 normal population (both vars) or n > 30 |\n| --- | --- | --- |\n\nQuestion \\#1 (true/false)  \nFor each statement (A-F), indicate whether the statement is true (T) or false (F):  \nA) The standard error of an estimate decreases when a larger sample size is used.  \nB) Sampling bias will decrease if a larger sample size is used.  \nC) For the same data, a 99% confidence interval estimate reflects a wider range of plausible values than a 90% confidence interval estimate.  \nD) The choice of explanatory and response variables matters for regression, but does not matter for correlation.  \nE) The purpose of random assignment in a randomized experiment is to eliminate the possibility of confounding variables influencing the experiment’s outcome.  \nF) Convenience samples are always biased, so they can never be treated as representative of a population.  \nQuestion \\#2 (matching)  \nFor each scenario (A-F), select the appropriate method from those described in 1-9. Not all of the options in 1-9 will be used.  \nA) Finding an association between two categorical variables  \nB) Describing the spread of a quantitative variable  \nC) Describing the strength of association between two quantitative variables  \nD) Finding an association between one categorical variable and one quantitative variable  \nE) Describing the central tendency of a quantitative variable that is skewed to the right  \nF) Expressing the variability in a point estimate  \n1) Median  \n2) 75th Percentile  \n3) Correlation coefficient  \n4) Contingency table  \n5) Standard error  \n6) Side-by-side boxplots  \n7) Standard deviation  \n8) Stratification  \n9) Simple random sampling  \nQuestion \\#3 (homework style)  \nA 2015 study published in the journal SLEEP, found that just one session of cognitive behavioral therapy can help people with insomnia. In the study, 4","cbCaiqtMPbfDauLn","https://ap.wps.com/l/cbCaiqtMPbfDauLn","pdf",308140,"English","# General Information\n# Exam topics\n## Sampling and confidence intervals\n## Study design and confounding variables\n# Types of content to expect\n# Formulas\n# Questions","[{\"question\":\"What are the exam timing and allowed materials for Exam #1 (S22)?\",\"answer\":\"Students have 50 minutes to complete Exam #1. Only pencil/pen and paper are allowed; no other exam resources can be used.\"},{\"question\":\"Which topics are included in Exam #1?\",\"answer\":\"Topics cover data basics; univariate graphs and summaries; bivariate graphs and summaries including contingency tables, scatterplots, correlation, and regression; sampling and confidence intervals; and study design with confounding variables and the benefits of random assignment.\"},{\"question\":\"What question formats should students expect?\",\"answer\":\"The exam includes true/false statements, a definitions/methods matching question, a homework-style multistep scenario prompt, and a lab-style question using screenshots of StatKey output with real data.\"}]","Practice Exam 1 - Math 146 - Practice (S22) | PDF"]