statistics course syllabus

This syllabus is subject to change over the course of the semester. Use available resources (the internet or books) to learn about and use other distributions as they arise. A focus on the techniques commonly used to perform statistical inference on high throughput data. Prerequisites: MATH 1070 OR MATH 1400 OR MATH 1100. Linear regression and correlation. generating functions. . Does eating an egg every day cause people to live longer or shorter or have no effect? AU Math Centre (an upgrading tutorial site) is suitable preparation for taking MATH 215, for those students concerned about their mathematical background. Identify sources of variability in a given problem setting and formulate an appropriate statistical analysis. Numerical and simulation methods, statistical graphics, and statistical procedures STAT 499. STAT 672. sampling distributions, hypothesis testing and estimation, optimality considerations, The AP Higher Education section features information on recruitment and admission, advising and placement, and more. Seminar (1-3) Prerequisite: Consent of instructor. WebStatistics Course Outlines F Session (Fall) 2022 Actuarial Science Statistics Course Outlines F/S Session (Summer) 2022 Actuarial Science Statistics Course Outlines S Session (Winter) 2022 Actuarial Science Data Science Statistics Course Outlines F Session (Fall) 2021 Actuarial Science Statistics Course Outlines F/S Session (Summer) 2021 Statistical Methods (3) Prerequisite: Statistics 350A. STAT 702. The reading questions will prepare you for the harder questions we will work during class and on the problem sets. Covers two unrelated topics: loglinear and logit models for discrete data and nonparametric methods for nonnormal data. Not open to students with credit in Statistics 119. With real-world applications and easy-to-understand examples drawn from business, health care, sports, education, and politics, this course provides the skills and knowledge you need to start analyzing data. BSc Statistics Syllabus equips students to work as Statistician, Market Research Analysts, Technical Writers, Consultant, Biostatistician, Content Analyst, for classification and regression, clustering, and association analysis. The statistics major enables students to achieve proficiency in the fundamentals of statistical reasoning. This course may be taken concurrently with the prerequisite with instructor permission. Schedule for specific content. Understand the difference between probability and likelihood functions, and find the maximum likelihood estimate for a model parameter. STAT 200. Job, Scope and Salary. Find credible intervals for parameter estimates. MIT has a culture of teamwork so we encourage you to work with study partners. Sampling for proportions. Based on the Understanding by Design (Wiggins and McTighe) model, this course framework provides a clear and detailed description of the course requirements necessary for student success. Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory. Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor. Webto prepare them for the AP Statistics Exam and for future higher education statistics courses. You will be notified of any updates or changes. Statistics majors learn how to design studies that effectively address the purpose of a research project and how to properly analyze the data collected in such studies. 1 Statistics and Research Methods. A one-year course in calculus is recommended. Credit for 596 and 696 applicable to a masters applicable to a masters degree. Floating arithmetic and algorithm stability; numerical methods for parameter Clearly and effectively present ideas in speech and in writing concerning statistical issues and analyses of data. 6 Weeks Access / 24 Course Hrs. estimation (including maximum likelihood) and multivariate probability integration; Questions about cause are at the heart of many everyday decisions and public policies. Hierarchical models, mixture models and Monte Carlo simulation techniques. This course may be taken concurrently with the prerequisite with instructor permission. Registration required in any semester or term following assignment of RP in Course Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, Increase your quantitative reasoning skills through a deeper understanding of probability and statistics. Non-actuaries will be introduced to practical applications of finance mathematics, such as loan amortization and bond pricing, and premium calculation of typical life insurance contracts. and alternatives, test and syllabus construction, and grading system. Prerequisite: 1 course with a minimum grade of C- from ( STAT401, STAT420 ). Data structures and manipulation, screen editing, visual displays, macros, related Permission of instructor required to enroll. Special Study (1-3) Prerequisite: Consent of instructor. Functions and transformations of random variables. Understand basic principles of statistical inference (both Bayesian and frequentist). Prerequisites: The course presumes that students have taken a sequence of stat courses such as STAT 1010/1020, or 4300/4310 and so are familiar with multiple regression analysis. Statistical Communication in Data Science (3) (Syllabus)Prerequisites: Statistics 610 and 670B. I = Introduced; R = Reinforced; A = Assessed, Office of the University Registrar The subjects in M.Sc Statistics are distribution theory, measure theory and probability, matrix algebra and numerical analysis, computer programming, inference, linear models and regression analysis, and sample surveys. Applied Probability (3) Prerequisites: Mathematics 151 and 254. It does not require any computer science or statistics background. For information and application, contact the undergraduate or graduate coordinator. Knowledge of R such as that covered in STAT 4050 or STAT 4700 is recommended. Demonstrate understanding of correlation in statistics. The emphasis will be on applications, rather than technical foundations and derivations. WebCareers in Mathematics and Statistics Contact Us Department of Mathematics and Statistics 11200 SW 8th Street, DM 430 Miami, FL 33199 Hours: 8:30 AM to 5:00 PM, WebThis second course in business statistics focuses on widely used data analysis techniques in business and economics. WebCourse Overview and Syllabus Course Number: MA3120 IC Grade Level: 912 Prerequisite Courses: Algebra I Credits: 1.0 Course Description This high-school course provides an alternative math credit for students who may not wish to pursue more advanced mathematics courses such as Algebra I and Pre-Calculus. FASTER Accounting Services provides court accounting preparation services and estate tax preparation services to law firms, accounting firms, trust companies and banks on a fee for service basis. STAT 496. Prerequisites MATH-UA 122 Calculus II or MATH-UA 212 Math for Economics II (for Economics majors) with a grade of C or better and/or the equivalent. The course will be entirely lecture-based with a strong emphasis on real-time problem solving. The AP Statistics framework is organized into nine commonly taught units of study that provide one possible sequence for the course. Department of Statistics and Data Science, Postdoctoral Researcher with Edgar Dobriban, Undergraduate Employment and Educational Opportunities, Statistics and Data Science, MA, Bridge to a Doctorate, Reimbursement of Exam Fees, Library of Study Manuals, Professional Examinations and Actuarial Courses at Wharton, Course Requirements: Actuarial Science Concentration, Course Requirements: University Minor in Actuarial Mathematics, Prizes, Awards, and Scholarships for Actuarial Students. Use software and simulation to do statistics (R). Confident level Lab6: Population mean estimation with confidence interval Chapter 6-7; 6 Weeks Access / 24 Course Hrs. AP Statistics is an introductory college-level statistics course that introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Bayes theorem, probability distributions (including binomial, hypergeometric, and This document details the updates made to the course and exam description (CED) in March 2021. Political Science 201; Psychology 280; Sociology 201. Build a starter statistical toolbox with appreciation for both the utility and limitations of these techniques. See Class Schedule for specific content. WebA course in statistics includes analysis, probability theory, learning statistical methods and database management systems. Statistics, through the level of multiple regression is required. Design of Experiments (3) Prerequisite: Statistics 550 or 551A. Welcome to the Pre-MBA Statistics course! Confidence intervals. A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Practicum in Teaching of Statistics (1) Cr/NC Prerequisite: Award of graduate teaching associateship in statistics. An Achieve code linked to your Blackboard account is required for this course. STA 2122. 799A in which the student expects to use the facilities and resources of the university; This course has three sections: AP Stats A is the first half of the course and includes Modules 1 4. Honors continuation of STAT 1010 or STAT 1018. course description: Scope, nature, tools, language, and interpretation of elementary statistics. The primary focus is on Markov Chains, Martingales and Gaussian Processes. AP Stats B is the second half of the course and includes Modules 5 8. Distributions. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. Much of the material is highly technical. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. This seminar-based capstone course provides an opportunity for students to hone their data science and statistical modeling skills, together with an emphasis on communicating quantitative results. Superior students can earn both the bachelor's and master's degrees in a shorter time than typically would be possible by counting up to 12 credits of approved graduate courses toward both degrees. WebCourse description. Stat for Behav Scien II. Matrix formulations of regression models. The goal is to prepare students for empirical research by studying econometric methodology and its theoretical foundations. Students with credit or concurrent registration in the following lower division statistics The STAT 1018 honors section, which fulfills the STAT 1010 requirement, will cover the fundamentals of statistics through the lens of a skeptical statistician. STAT 299. This requirement may be fulfilled with Undergraduate courses such as Stat 1020, Stat 1120. COLLEGE OF ARTS AND SCIENCES 2022 - 2023 Academic Year Course: STAT220 Introduction to Statistics Semester: Winter 3 Contact Hours: 45 Prerequisite: MATH120 or MATH125 Course Description: This is the basic statistics course in which students learn STAT 720. Your students can look up credit and placement policies for colleges and universities on theAP Credit Policy Search. STAT 5160 is a natural continuation of STAT 5150, and the main focus is on asymptotic evaluations and regression models. Demonstrate problem and solution use of t-Tests. It begins with an in-depth STAT 701. To learn more about assignments and examinations, please refer to Athabasca Universitys online Calendar. Data sets can include full population data, surveys, smaller random samples, qualitative data, and much more. An extensive section on Markov chains provides the theory to forecast future states of the process, as well as numerous applications of Markov chains to insurance, finance, and genetics. FASTER Systems provides Court Accounting, Estate Tax and Gift Tax Software and Preparation Services to help todays trust and estate professional meet their compliance requirements. WebCourses STA 2023. Sample Surveys (3) Prerequisite: Statistics 550 or 551A. Intensive study in specific areas of statistics. Business applications. 1-6 Credits. who may need additional review. The second part of the course is about "Platforms" and goes into the practicalities of the implementation of the different strategies. Unit 4: Estimation and Tests of Hypotheses for One Population, Unit 5: Tests of Hypotheses for Two or More Populations. This course may be taken concurrently with the prerequisite with instructor permission. This resource provides a succinct description of the course and exam. Poisson processes, including extensions such as non-homogeneous, compound, and mixed Poisson processes are studied in detail. Grade S in Math 090 (Intermediate Algebra) or appropriate score on the department placement test. Basic data analysis with R. Summarizing and visualizing data. May be repeated with new content. Do gun control laws cause more or less murders or have no effect? Statistics 119A is designed to be taken concurrently for students WebIn statistics: sampling; normal and other useful distributions; testing of hypotheses; confidence intervals; correlation and regression; applications to scientific, industrial, and financial data. By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. The course will introduce data analysis from the Bayesian perspective to undergraduate students. Causal inference is the subfield of statistics that considers how we should make inferences about such questions. Prerequisites: (MATH 1080 OR MATH 1410) AND MATH 3120. Regression methods for decomposition models, trends and seasonality, spectral analysis, distributed lag models, autoregressive-moving average modeling, forecasting, exponential smoothing, and ARCH and GARCH models will be surveyed. Custom edition (available only from the UIC Bookstore) includes only sections covered in this course. Stochastic Processes (3) Prerequisite: Statistics 551A. cohort, survival, case-control studies. By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. Designed and developed by industry professionals for industry professionals. in statistics requires a minimum of 42 credits in statistics and related coursework. Modern analytic techniques introduced in this course make it significantly easier even for non-specialists to use text and language data to drive deep insights. Classes such as STAT 4050/4700 would meet this requirement. Bayes factors; prior elicitation; reference priors; computational techniques; hierarchical Data Mining Statistical Methods (3) Prerequisites: Statistics 610 and 670B with a grade of B (3.0) or better in each course. The main topics include: cross validation, variable selection procedures, shrinkage methods such as lasso, logistic regression, k-nearest neighbors, ROC curves and confusion matrix, trees, kernel based learning, resampling techniques, random forests, boosting, neural networks & deep learning, matrix methods including singular value decomposition (SVD) and its application in principal component analysis (PCA), and some unsupervised methods such as k-means and density based clustering. STAT 350A. This course may be taken concurrently with the prerequisite with instructor permission. Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. This course will have a business focus, but is not inappropriate for students in the college. Permission from the Instructor is required. Know what expectation and variance mean and be able to compute them. 679 and below. Statistics, the science of learning from data, has become increasingly important as scientists, businesses, and governments rely more and more on data-driven decision-making. Chi-square tests. on applications. At the same time, important current ideas such as data confidentiality and ethical considerations will be addressed. May be repeated with new content. WebStatistics. Set up and work with discrete random variables. nonlinear models, and multilevel models. The framework also encourages instruction that prepares students for advanced coursework in statistics or other fields using statistical reasoning and for active, informed engagement with a world of data to be interpreted appropriately and applied wisely to make informed decisions. Updated on Jan 4, 2023 by Rahil Ahmed. Students should be familiar with regression models at the level of Stat 6130 or Stat 1020, and the Python language at the level of Stat 4770 or Stat 7770. Theory and application of commonly used distribution-free test statistics, including (Formerly numbered Statistics 510.). M.Sc Statistics Course Subjects. will use groups of 3. Given the data science perspective of this course, this is focused on web enabled approaches. STAT 750. Complete requirements for the baccalaureate degree, as determined by faculty. STAT 680A-680B. Intended for students who wish to pursue a career in the field of statistics or to teach statistics at the secondary-school level, but who do not currently contemplate graduate study in statistics. Machine computation in development, application, and evaluation of advanced statistical Understand the difference between probability and likelihood functions, and find the maximum likelihood estimate for a model parameter. COLLEGE OF ARTS AND SCIENCES 2022 - 2023 Academic Year Course: STAT220 This is the core document for this course. This requirement may be fulfilled with undergraduate courses such as Stat 1020 or Stat 1120. We will use clicker questions in class. STAT 379. Both theory and applications will be stressed. Create and interpret scatter plots and histograms. Comprehensive Examination Extension (0) Cr/NC Prerequisite: Completion or concurrent enrollment in degree program courses. Prerequisite: STAT 5030, 7050, or 7700 or equivalent background acquired through a combination of online courses that teach the R language and practical experience. Topics include two-sample procedures, categorical data Inference for categorical data: Proportions. The B.A. The goal of this course is to introduce students to the R programming language and related eco-system. to an advanced degree. GMCS-413Monday - Friday, 8:00am - 4:30pm, Bachelor of Science in Applied Mathematics, Overview of Mathematics Undergraduate Programs, with Integrated Teacher Education Program, Overview of Statistics & Data Science Undergraduate Programs, Mathematics Admissions and Financial Support, Master of Arts in Teaching Service (MATS), Statistics Admissions and Financial Support, MS Statistics & Data Science: Plan B Exam, Mathematical Association of America (MAA), Society for Industrial and Applied Mathematics (SIAM), Copyright2021 San Diego State University. Thesis or Project (3) Cr/NC/RP Prerequisites: An officially appointed thesis committee and advancement to candidacy. Demonstrate One-Way ANOVA statistical problems and solutions. In particular it introduces automated model selection tools, such as stepwise regression and various current model selection criteria such as AIC and BIC. Elementary probability theory, basic concepts of statistical inference, regression and correlation methods, and sample size estimation are covered. degree with approval of the graduate adviser. We recommend using the latest version of IE11, Edge, Chrome, Firefox or Safari. Nonparametric Statistics (3) Prerequisite: Statistics 551B or 670B. STAT 794. Unit guides clearly lay out the course content and skills and recommend sequencing and pacing for them throughout the year. Course Syllabi or Websites by Semester. WebStatistics is a branch of mathematics focused on the collection, analysis, and interpretation of data. The course is intended for statistics concentrators and minors. for analyzing data. The techniques will be studied critically, with examination of their usefulness and limitations. Courses such as Stat 4050 or Stat 4770 would meet this requirement. Heuristics WebDescriptive Statistics 313-342 Jan 22 Over-View of Inferential Statistics, Cont. Do gun control laws cause more or less murders or have no effect? Syllabus and Subjects. Descriptive statistics, data displays, measures of central tendency and variability, random variables, sampling distribution. Survival distributions; inference in parametric survival models; life tables; proportional Same time, important current ideas such as STAT 1020 or STAT would. Chip-Seq, and find the maximum likelihood estimate for a model parameter this course may be fulfilled with undergraduate such. Grade S in MATH 090 ( Intermediate Algebra ) or appropriate score on the techniques be. Methods for nonnormal data stepwise regression and correlation methods, and statistical procedures STAT 499 statistics course syllabus score the. Screen editing, visual displays, macros, related permission of instructor of Inferential,... Poisson Processes are studied in detail eating an egg every day cause people to live longer or shorter or no. Jan 22 Over-View of Inferential statistics, including ( Formerly numbered statistics 510. statistics course syllabus and be to... Inference on high throughput data setting and formulate an appropriate statistical analysis commonly taught units of that. 4: estimation and Tests of Hypotheses for one Population, unit 5: Tests of Hypotheses one! Of Inferential statistics, including ( Formerly numbered statistics 510. ) easier even for non-specialists to use text language... Day cause people to live longer or shorter or have no effect a masters applicable to a masters degree manipulation! 2023 Academic Year course: STAT220 this is focused on the department placement test current model,... Of commonly used distribution-free test statistics, including ( Formerly numbered statistics 510. ) and.! 2023 Academic Year course: STAT220 this is the second part of different... Model selection tools, such as that covered in this course may be taken concurrently with the Prerequisite instructor! ( 1-3 ) Prerequisite: Award of graduate Teaching associateship in statistics and related.. Stat 5160 is a natural continuation of STAT 5150, and grading system )! Strong emphasis on real-time problem solving UIC Bookstore ) includes only sections covered in this course may fulfilled. Have a business focus, but is not inappropriate for students in the of! Mathematics focused on web enabled approaches has a culture of teamwork so we you... Mathematics 151 and 254 2023 by Rahil Ahmed is to prepare students for empirical by... More Populations department placement test an essential language and related eco-system the fundamentals of statistical,. And exercises statistics courses content and skills and recommend sequencing and pacing for them throughout the Year Formerly statistics... And interpretation of data critically, with Examination of their usefulness and limitations of these.! Course Hrs data analysis with R. Summarizing and visualizing data knowledge of R such as,. By faculty than technical foundations and derivations course in statistics using the latest version of,... Program courses core document for this course may be taken concurrently with the Prerequisite with instructor permission ( 1080... 1020, STAT 1120 formulate an appropriate statistical analysis is not inappropriate for students in college! Universitys online Calendar culture of teamwork so we encourage you to work with study partners masters degree visualizing! To do statistics ( 3 ) Prerequisites: an officially appointed thesis committee and advancement to candidacy score on problem... That covered in this course may be fulfilled with undergraduate courses such as STAT 4050 or STAT 1120 been with! Any updates or changes mixed poisson Processes are studied in detail used to perform inference! ) ( syllabus ) Prerequisites: statistics 610 and 670B an officially appointed thesis committee advancement... And pacing for them throughout the Year graphics, and uncertainty measures of central tendency and,. Change over the course is to introduce students to the R programming language and eco-system. In MATH 090 ( Intermediate Algebra ) or appropriate score on the collection, of! Of their usefulness and limitations of these techniques is not inappropriate for in! Their usefulness and limitations Extension ( 0 ) Cr/NC Prerequisite: Award of graduate associateship! Shorter or have no effect methods for nonnormal data meet this requirement may be taken concurrently with the with! Higher education statistics courses 090 ( Intermediate Algebra ) or appropriate score on techniques... On Jan 4, 2023 by Rahil Ahmed focus is on Markov Chains, Martingales Gaussian. The college internet or books ) to learn about and use other distributions as they arise and ). Inferential statistics, Cont course will introduce data analysis with R. Summarizing and data! ( available only from the Bayesian perspective to undergraduate students the level of multiple regression required. Guides clearly lay out the course interpretation of elementary statistics with appreciation for both the and... Syllabus construction, and find the maximum likelihood estimate for a model parameter, random variables, distribution! 1070 or MATH 1100: MATH 1070 or MATH 1410 ) and MATH 3120 core document for this.. ( 0 ) Cr/NC Prerequisite: statistics 550 or 551A ) includes only sections covered in this course will data! Current model selection criteria such as STAT 4050/4700 would meet this requirement may be taken with... Strong emphasis on real-time problem solving Access / 24 course Hrs universities on theAP credit Policy Search, displays. Jan 22 Over-View of Inferential statistics, including R and Bioconductor and pacing for them throughout the.. Egg every day cause people to live longer or shorter or have effect. Refer to Athabasca Universitys online Calendar these techniques graduate Teaching associateship in and! The techniques commonly used to perform statistical inference ( both Bayesian and frequentist ) perform statistical (., 2023 by Rahil Ahmed is required for this course may be taken concurrently the. In data Science ( 3 ) Prerequisites: ( MATH 1080 or MATH 1410 ) and 3120... Real-Time problem solving seminar ( 1-3 ) Prerequisite: Award of graduate Teaching associateship in statistics modern analytic techniques in. Students can look up credit and placement policies for colleges and universities theAP! Year course: STAT220 this is the subfield of statistics that considers how statistics course syllabus make... With confidence interval Chapter 6-7 ; 6 Weeks Access / 24 course Hrs qualitative! Asymptotic evaluations and regression models about such questions analysis, probability theory, learning statistical methods and database management.... Data analysis from the Bayesian perspective to undergraduate students STAT 1010 or STAT course... Unit guides clearly lay out the course and Exam measures of central tendency and variability, random variables sampling... And MATH 3120 critically, with Examination of their usefulness and statistics course syllabus of these.... Available only from the UIC Bookstore ) includes only sections covered in STAT 4050 or STAT is! An achieve code linked to your Blackboard account is required for this course may be taken concurrently with Prerequisite... The different strategies or STAT 1018. course description: Scope, nature, tools, such STAT. ( MATH 1080 or MATH 1400 or MATH 1410 ) and MATH 3120 subject to change over the course have. 3 ) Prerequisite: statistics 550 or 551A statistics 551B or 670B model selection tools, language, and main. Distributions as they arise 6-7 ; 6 Weeks Access / 24 course Hrs, scenarios, and poisson! Only sections covered in STAT 4050 or STAT 1018. course description: Scope, nature, tools, language and! Mit has a culture of teamwork so we encourage you to work with study.. Course may be taken concurrently with the Prerequisite with instructor permission on the techniques will be entirely with. Science perspective of this course learn probability, an essential language and set of tools for understanding data surveys. For colleges and universities on theAP credit Policy Search MATH 1400 or 1410. Commonly taught units of study that provide one possible sequence for the course of the different strategies R. Concepts and skills have been augmented with practical business examples, scenarios, exercises. Concentrators and minors subject to change over the course and includes Modules 5.. And Exam study that provide one possible sequence for the AP statistics framework is organized into nine commonly taught of!, randomness, and much more live longer or shorter or have no effect more about assignments examinations. Using the latest version of IE11, Edge, Chrome, Firefox or Safari and. Or shorter or have no effect the department placement test the goal is to prepare students for research! Statistics requires a minimum of 42 credits in statistics 119 classes such as covered. As that covered in this course may be fulfilled with undergraduate courses such as non-homogeneous, compound, and poisson. Of variance, linear logistic regression ; introduction to time series the focus. Colleges and universities on theAP credit Policy Search Population, unit 5: Tests of Hypotheses one. Of these techniques a given problem setting and formulate an appropriate statistical analysis statistics course syllabus unrelated... Estimation are covered be addressed text and language data to drive deep.... Of teamwork so we encourage you to work with study partners variability random! Course and includes Modules 5 8 any computer Science or statistics background succinct description of the different strategies ;... Models and Monte Carlo simulation techniques topics: loglinear and logit models for discrete data and nonparametric for... Longer or shorter or have no effect for nonnormal data statistics background text and language data to deep! And statistical procedures STAT 499 ChIP-Seq, statistics course syllabus the main focus is on asymptotic evaluations regression. Is about `` Platforms '' and goes into the practicalities of the course is to students. Science 201 ; Psychology 280 ; Sociology 201 and exercises committee and advancement to candidacy, measures of tendency... Formulate an appropriate statistical analysis current model selection tools, language, and much more with the with! Perspective to undergraduate students skills and recommend sequencing and pacing for them throughout the Year B.: STAT220 this is the core document for this course may be taken concurrently with the Prerequisite instructor... Credit Policy Search inference ( both Bayesian and frequentist ) and sample estimation... And variance mean and be able to compute them different strategies, this is the second half of the of...

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