All of statistics reddit. Please do not message asking to be added to the subreddit.

All of statistics reddit And no not your one semester engineering statistics classes. Reply reply 11bucksgt • Not sure really. Statistics as a department is a relatively new thing and also, much of computational statistics took off in the 80s because of advances in computers. The only one I went through all the way so far was Hogg's, but of the bits I've poked through with the other two, I think Statistics take all of the "normal" data into account as well. If you want to go make a lot of money right away, you could continue to learn to Unless you have a recent backup of the world, there's not much you can do about it. It's important to consider the underlying conditions and systemic issues that The best thing to know about statistics is in the beginning they try to teach you the supporting math, so that you’ll understand it. by Larry Wasserman . in Mathematics this summer. Effective Statistical Consultancy This class covers all aspects of statistical consultancy skills necessary for being a successful statistician working in any research or customer environment. S. ADMIN MOD [Q] Newish to statistics, and Andy Field's Discovering Statistic Using R book question . If you want to go into industry, you have so many options From business analytics to all sorts of cool data science jobs. For example, good statisticians will always question the numbers/figures in newspaper/social media and even the source of the information (whether it’s biased or not). Casella and Berger is a decent choice of text, but I would not I am looking for Mathematical statistics lecture notes. A while back I asked this subreddit about good books on probability theory. Fanblog data are also permitted, provided they source the method of their data collection. There's a free Chatgpt bot, Open Assistant bot (Open-source model), AI image generator bot, Perplexity AI bot, 🤖 GPT-4 bot (Now with Visual capabilities (cloud vision)!) and channel for latest prompts! /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. I think the reason why they have "applied math" (instead of statistics) as a department is because it's a very old department. As a result, it all turns into a cat-and-mouse game of bettors trying to stay ahead of betting sites despite their relative resource disadvantage. Here are a few texts to start your search. More than enough jobs to go around. I am really enjoying it and I'm thinking of possibly Both AI and statistics are blanket terms that get thrown around a lot but can apply to a lot of things. The OP has enough mathematical knowledge to learn statistics from statisticians rather than someone whose training is all in psychology. Wasserman's book starts with fundamental probability concepts and goes all the way to practical Bayesian inference algorithms. I have a strong background in statistics and probability. _ Casella and Berger All of Statistics Literally dozens of others, honestly your best bet is a search here. It is the "sum of squares for x", and defined by the sum of the square of the differences between each x term and the x-mean. Don't ask people to contact you externally to the subreddit. If OP plans on getting a MS, then an undergraduate degree in statistics would be fine though. But I get the main idea, nota trying to interpret all of this very literally /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. I am going through this sequence- intro stats, probability, mathematical statistics, and statistical computing. I tried to jump into ESL without any background (only read a basic stats course) but I couldn’t really appreciate all the material. The university has recently changed the statistics curriculum to emphasize the use of computing power, so be ready to write a decent amount of code. Are you struggling with some low-math firehose of not-really-justified "just remember all this for the final" intro-statistics subject designed for people trying to apply stats in their own subject area (and very often not even taught by statisticians), or are you actually /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. programmes on Statistics in Europe, and, to my surprise, I only managed to find very few. If OP is able yo get through Billingsley, they are quite well prepared for more theoretical treatments of statistics. It made me wonder what you might consider the other 9-14 to be. ] 24 votes, 22 comments. I'm keen on self-teaching myself statistics for Machine Learning primarily and have been recommended this book. Mathematical Statistics class spans chapters 8, 9, 10, and some (or all) of 11. College Advice Hi all, I want to pick up a statistics What are some good resources to learn mathematical statistics? I'm currently taking a class but I'm having difficulty on grasping the material. Almost all of Modern Statistics has been reformulated using Math, and some people are only interested in Statistics as it relates to Math. It states that if you can factor the joint density into the function of the statistic (allowed to be dependent on the parameters of the model) and some function of data (must not be dependent on the model parameter), then the statistic is sufficient. You’re on the right track. ADMIN MOD [Question] Books on more philosophical aspect of Statistics? Question Hello, I recently got There's software that gets all this information from the medical records, but this is completely legal because there's nothing identifiable in the statistics that are reported on - you're not saying "John Smith has asthma", you're giving aggregated statistics across the whole area. Open comment sort options. _ Members Online • xel02 . I was accepted into three programs thus far: UWashington M. Anyway, ML is abaolutely not extremely different from statistics, but I wouldn't say it's just statistics on steroids. I have had to watch many videos on statistics on youtube to teach myself the concepts. All of my “calculus” brained friends hate statistics and find it confusing. But that shit is impossible, math is hard and everyone knows it. My 4000 level mathematical stats course used it and we literally dealt with zero data, all proofs ("all theta, no data", as my prof used to joke). As far as topics you might look into for anthropology, time series and geospatial statistics might both be relevant areas of statistics for your work. Please have a deep knowledge in all chapters. If you want to learn "true" statistics you need to have a solid foundation in probability. , Pearson. Expand user menu Open settings menu. The formulas you need need to memorize and a lot of them can be done The nice thing about the prevalence of computers in statistics these days is that I'm sure there are 'Statistics for Business in R', or 'Statistics for Healthcare in R' sorts of books that don't assume you're a grizzled statistician. New. Get app Get the Reddit app Log In Log in to Reddit. Common personality traits are a bit harder to pin If you're ready to rumble, Wasserman's 'all of statistics' I've decided is the best intro I've spent time with. Please do not message asking to be added to the subreddit. . These kind of reports are vital in ensuring practices can understand the needs of their patients and deliver I searched around and I found out this book Statistics 4th Edition by David Freedman. , stats majors, but I've always found it to be more than sufficient when I have questions about various distributions. Usually I passed all other classes in my first attempt. I don’t see none of those roles competing amongst each other. I was recommended an amazing book by Joseph K MATHEMATICAL STATISTICS For mathematical statistics (including the inferential statistics you'd likely want to learn before regression), there are a lot of options, and it depends on whether you want a non-rigorous, intuitive overview first before you dive into the more rigorous treatments. Hello all! I'm a pure math major, and I've put off taking my intro stats and probability course until now. Scheaffer: Mathematical Statistics with Applications Robert Hogg, Joseph McKean, Allen Craig: Introduction to Mathematical Statistics George Casella and Roger Berger: Statistical Inference I will say that Statistics jobs are predicted to increase by 39% by the year 2039 if that makes any difference. It can never be better. The MCAT (Medical College Admission Test) is offered by the AAMC and is a required exam for admission to medical schools in the USA and Canada. probability and statistics are two different subjects. Spes_Ter_9557 • Also check out 'Statistical Inferencing' by Casella, covers many topics you mentioned! Reply reply mowa0199 • Looking at the /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. This follows an older edition of the book, though there is almost Also, another source of great material for math and statistics are the MIT lectures. They're not at all comprehensive. Q&A. I had professors that had to do their Pointing out statistics that perpetuate a racial stereotype without context, especially in a society still influenced by a racial caste system or still has visible remnants of an apartheid state, can potentially be an act of racism, depending on what those statistics are insinuated to prove or how they're used. Statistical methods are designed to be the optimal method for any given problem. my coursework has mainly focused on: joint distributions, moment/cumulant generating functions, univariate/bivariate distributions, conditional The brevity allows Wasserman to cover "all of statistics" in one volume, which I think is a little bit of a joke, but the range is quite impressive from Probability to Causal Inference, DAGs, and so on. Hi, I recently signed up for a manufacturing course online, and I'm finding myself in need of some statistical I watched about 30/45 of Crash Course’s series on Statistics. json and the statistics data is stored in the stats folder as Larry Wassermann, All of Statistics CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. Like with other classes, the focus is on real-life data and using statistical software packages for analysis. Stanford has a free online course that goes with the book too. Career Advice Hi all, Recently graduated from college and Don’t worry about Sophia courses not being enough credits vs WGU it all still counts and applies the full competency units for your degree on wgu. I get it though, not every student is like me. Controversial. [We need those components -- you can't just talk about the connection between the mean and the sum -- that's not statistical sufficiency. Less than that if you just need to complete it. I've tried working through Wasserman's "All of Statistics" but frankly found it extremely dry and unmotivated. If you can weather the book though, it's been good for the parts I've gone through so far (this is my second mathematical statistics text wanted to get a . Sxx is just another one. 3 Let's all have fun! The most important thing is to have fun and to let others have fun! 4 Discussion of previous life activities are Certain statistics are harder to dispute than others due to the chain of evidence leading up to the number. Reply reply DavidRFZ • Yeah, I don't know if OP is a baseball fan, but Bucky Dent and Bill Mazeroski were really bad hitters. I understand the meaning of significant, but then, this is just googling the definition and telling my boss „yeah, the a/b that run, b performed significantly better than a. _ Members Online • Nexgan. More importantly however, the behavior of reddit leadership in implementing these changes has However, frustrating issue can indeed happen with stat courses. An LLM ChatBot like ChatGPT and the series of if-else statements, with weighting, in a video game script are AI, but they are entirely different things. So, if you have a choice between AI and a standard statistical method, you should always use the statistical method. I use them heavily in my professional career as an engineer, but knowing some about complex statistics makes me sad for they layperson that doesn't understand the math or the methodologies. Education I’ve been interested in doing I definitely think you should read All of Statistics by Larry Wasserman beforehand. What would you suggest are the mathematical prerequisites for such a book. But I agree with others that there can’t be a single book that covers all of statistics. ADMIN MOD Good books on statistics . Old. For Bayesian statistics specifically I’d go with Statistical Rethinking (there’s accompanying lecture series on YouTube). Thanks! We have a public discord server. In that sense, econometrics can be viewed as a subfield of statistics. _ Members Online • sosuckonthat8. The two big differences: Wasserman states his theorems This repository contains my personal notes and complete solutions This repository holds solutions to problems found in Larry Wasserman's textbook All of Statistics. Don't solicit academic misconduct. ADMIN MOD Statisticians: out of all the things you learned in college, what do you commonly use? I'm Ultimately, statistics is a large enterprise, no one book contains it all, and all the books I listed above doesn't encompass it either. The book includes modern topics like non-parametric curve estimation, bootstrapping, and All of Statistics A Concise Course in Statistical Inference . The club meetings are open to all majors, and I’m sure the students would be happy to talk to you about classes! Statistics is not the same as data science; the latter is deeply rooted in highly applied and computational topics, including a lot of things that have nothing to do with statistics. Career This is the official thread for In my opinion, it doesn't matter even if I was doing well in all practice tests. " This is also a place to talk about your own psychology research, methods, and career in order to gain input from our vast psychology community. All posters, please remember that this subreddit requires peer-reviewed, cited sources (Please see Rule 1 and 3). _ Members Online • aik009. Here are some steps that might help: Start with the Basics: Begin with a solid understanding of basic mathematical concepts Someone has linked to this thread from another place on reddit: [r/learnmachinelearning] MIT’s Fundamentals of Statistics on edX started today! MIT’s Fundamentals of Statistics on edX started today! If you follow any of the above links, please respect the rules of reddit and don't vote in the other threads. AI could be as good. The author goes into a lot of detail to give you intuition about basic concepts and then builds it all upto hypothesis testing etc. Reply reply [deleted] • Statistics is the confluence of math, programming, and We all know Statistics can be manipulated and “lie” in a sense by only portraying the partial truth. I have started looking for M. In the final assignment the rubric did not say that the excel sheet was needed and so I didn’t turn it in. You would likely be able to guide yourself through learning code and re-learning stats at the same time all in I kinda doubt it, after Pearson's opposition to causality, no pune tried to extend the field of statistics to make sure causality has a place. r/MathStats A chip A close button. Study resources upvote · comments. In the world data, the advancement data is stored in the advancements folder as <your-UUID>. Remove me from replies here. Let I have recently tried to create a sabermetric, and granted I’m not good at math at all but it’s just a stat I’m wondering. You need all 3 and in many jobs, you do all 3 roles to varying degrees especially if it’s a smaller company/start up. Unfortunately, I don't have experience in measure theory (although I can understand the very basics). I’m in a reading group at work (5+ PhDs) and we have a statistics PhD who often educates us on our missing/misunderstood statistics. You need a distribution and a parameter. _ Members Online • Shadow_Bisharp. For undergrads aspiring to go to graduate school in statistics, honestly you don't need to major in statistics; math or CS are arguably better alternatives. If you are interested in causal inference the best way to address that is experimental design and not analysis methods. The book mentions that Skip to main content. _ Members Online • LeSUTHU. You can focus on getting causal estimates from observational data Larry Wasserman: All of Statistics: A Concise Course in Statistical Inference Dennis Wackerly, William Mendenhall, Richard L. The teacher then deducted points from me because If you want something rigorous, the three books you might consider for a Strang style intro is probably Hogg and Craig's introduction to mathematical statistics, Casella and Berger, and Wasserman's all of statistics. ADMIN MOD [E] Modern Mathematical Statistics vs All Of Statistics . I used it in my Statistics III course btw. He explains the basic concepts, from regression to P-values (without using mathematics), and introduces the intellectual ideas that underpin statistics. I see it more as a book of pure mathematical statistics and topology elements, such as Hoel, Porter & Stone. I use /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. It's extremely easy to intentionally mislead someone with statistics in a way that seems perfectly legitimate. Even if I don't get into any grad schools, I'm still planning to self-study a lot of statistics to give me deeper understanding. ADMIN MOD Statistics Crash Course Recommendation . /r/MCAT is a place for MCAT practice, questions, discussion, advice, social networking, news, study tips and more. Broadly speaking--and Hi all, I have seen all the posts and threads about this topic, but I'm wanting to seek some opinions and advice for my current situation. I was hoping for some insight on the workload of the major, the research/ internship opportunities, the professors, what it is like majoring in statistics in general and the general UF experience. the issue is, some of the notes / resources I have are a bit too complex for me at this stage, and was wondering if there were any good resources that would help me get a very strong understanding of statistics. Statistics is a living discipline. Would you recommend choosing such a topic if I'm looking to get a high grade? Share Add a Comment. When you check your degree plan on wgu it’ll show completed/transferred courses and one of them will be Ask a question about statistics (other than homework). Sc. There are too many different variables and none of them are explained properly. In practice, though, there tends to be a difference between the kind of statistics that "statisticians" work on, and the kind that "econometricians" work on. So I wanted to learn how interesting Statistics just all on its own is, hence this post. They always get more than they give. ADMIN MOD [Q] Convince me NOT to become a statistician . The book we are using is Introduction to Mathematical Statistics by Hogg, McKean, and Craig, 7th ed. His books also do not cover a huge variety of topics that are necessary to an education in statistics. Like what is the purpose of taking the square root in standard Learning statistics might seem challenging, but with the right approach and resources, anyone can grasp the concepts. Members Online • theslimjimczar. SWEs who try to gate-keep are quickly going to be obsolete if the continue with /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. The final exam doesn't align with practice tests. _ Members Online • 24_cool. Means, standard deviations, medians, quartiles and so on, they're all different statistics. The final exam was very tricky for me. It's quite easy for a statistician to become a data scientist, probably even the easiest field to start from, but one shouldn't assume that a degree in statistics automatically makes a data scientist. Drawing on Also: Wasserman’s All of Statistics, Hogg’s Mathematical Statistics (more theory, but good exercises and examples), Tibshirani’s Intro to Statistical Learning & Elements of Statistical Learning (more advanced), even the Casella/Berger Statistical Inference (though it’s a little bit less, i don’t know, practical? for most applied folks in 2024 at least? still a great book). " Mind you, I dropped out of statistics due to proofs and decided to go the practical mathematics route as proving stuff just wasn't for me. Hated math in high school since it felt like arbitrary number crunching, but in undergrad I learned that it's more about starting with core assumptions, using formal logic to discover this elegant, intricate network of truths that all stem from that handful of core assumptions, and using it to In theory, econometrics is simply the application of statistical methods to economic questions. It absolutely sucks having such* a busy schedule with work and school at All of that is stats. r/learnmachinelearning A chip A close button. That pretty much covers everything any DS needs. After all, I was there to witness the whole “boundless success” thing. in Statistics - Advanced Methods and Data Analysis, NYU's M. The final program that I am hoping No, but our school treats Statistics like applications are really the only reason it's even being taught. " Well, which one is it? Either you like the stuff or you don't. No one got an A at all for the first 4 weeks of the assignment. I learned all of statistics from making modelings in SAS and then analyzing the results with the guidance of my boss who teaches me as I go. In classical statistics, the sampling distributions of test statistics, p-values, 95% confidence intervals, etc. I needed 40 out of 70. r/statistics A chip A close button. So, no, not all statistics are made up, only about a quarter are, according to this statistic that likely is correct since most of the fake statistics are made by stupid people with an agenda, and are things like "70% of all white transgenser males are All of it. I can't emphasize enough though, that you will need calculus to understand advanced statistics. Almost practical for me. filsch • Perhaps a statistics-light book, but I enjoyed Factfulness by Hans Rosling. " It aims to be a "concise course" on statistical inference. I have recently begun to self learn machine learning through reading Elements of Statistical Learning. My apologies if this has been done before. But if you put your mind to it, build a strong foundation, you can keep learning and building and applying. Hang in there, because statistics is really all about interpreting the result: what numbers do we need to input and what does the output mean /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. I watched all the videos because I learn better that way, didn’t really much of the actual text. I don't know how. You could probably find better (or more suitable for your taste) books on each one of those subjects but it is nice having it all in one. But everything prior to that just made sense. in Applied Statistics for Social Science Research, and Columbia's M. AI is really, in all of its /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. Reply reply WolfVanZandt • Statistics give me a handle on the universe. Many statistic tools are obviously human constructed methods and nothing is "set in stone". For some reason a lot of this felt like common knowledge until I got to the last two chapters. I have some experience with statistics already but any recommendation is welcomed I'm a first-year PhD student in Statistics and I'd like to know which publication venues are best suited for a paper focused on theory (several Skip to main content. All They just launched Statistics and Probability lectures in Jan 22 but I am Skip to main content. I'd say all of the science programs at the university have the same difficulty, save for physics. Recommendations for advanced statistics book? I've just finished an undergraduate degree in I am not good at any other math persay but for some reson I excel in statistics, I remember in 6th grade we did some of statistics in class and found an imediate likeing. Like it’s great that y’all come into data science positions with your AI classes and shit but please take some statistics classes. For example, a professional tennis player pretending to be an amateur tennis player or a famous singer smurfing as an unknown singer. All you’ll need is a 45% on the final if u have a 96% quiz avg. ADMIN MOD [Q] Essential Stats for Data Science/Machine Learning? Question Hey everyone! is it mathematical statistics, with theorem-lemma-corollary and lots of integration? Or is it good for applied statistics? Yes and yes. Crash Course is great, but there wasn’t any mathematical examples I needed for practice. I'd recommend actually diving into a dataset If you are viewing this on the new Reddit layout, please take some time and look at our wiki (/r/step1/wiki) as it has a lot of valuable information regarding advice and approaches on taking Step 1, along with analytical statistics of study resources. It's a theoretical book that has a lot of stuff that it would be good for an applied statistician to know about and that could The #1 social media platform for MCAT advice. I am looking for lecture notes in mathematical statistics at the beginning graduate level with the following desiderata: Statistics is a terrifying branch of mathematics. , are all devices to deal with the uncertainty in the outcome of an experiment. from what you say, it sounds like you want an introductory statistics textbook (not just a probability textbook), since these usually begin with covering probability basics (usually around the first third to half is probability and remainder statistics). The best thing about the book is that, there are numerous small Skills I have needed and developed are SAS programming, statistical modeling, and designing experiments. I learned calc from there. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Get the Reddit app Scan this QR code to As one friend said to me last week -"Anyone can graduate with a degree in Statistics, all you need is a passing grade and to put enough effort in. Honestly I would recommend against "All of Statistics". My friend asked if I can find the highest score ever of my statistic but that requires putting the equation into some database of all statistics. IMO Hogg & Craig is great for exactly what its title suggests—the mathematical in and outs of statistics. If the OP wants to learn psychology, that's when they should seriously I recommend Wasserman's All of Statistics for someone like you. Education Hi, I'm a Physics student Hello everyone, I like to read books on all sorts of subjects; plants, psychology, physics, evolution and so on. does probability and stats become more interesting . Personally, I became interested in math, specifically applied math and statistics in undergrad. It's no joke though, you need to be very comfortable with multivariable calculus and with following proof based arguments. I was scared to take stats 2 after /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. (Info / ^Contact) 76 votes, 33 comments. ADMIN MOD [Q] What are some of the best statistical data visualization tool/software that incorporates the Then you measured the 1000 families using a scale accurate to +/- 1 gram and used a very good sampling method (another technical item). Elements of statistical learning. Before you answer that, I'm 36 years old, and this program is taking ALL of my free time. Knowing the Turks, probably Eastern Bazaar thing, they try to scam you or get things you don't need or pay more along with a contract, they requested that, too. This results in lines /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. The discussions in this reddit should be of an academic nature, and should avoid "pop psychology. Also you can argue stats was what DS was before the 2010s. A subreddit for all Canadian Especially after experiencing a mathematical statistics course, it's absolutely beautiful to see where all of these statistical theorems come from, and how those models might be useful in understanding the world. While every university and its cousin offer data science/computer science programmes, I can't seem to find many "pure" Statistics programmes that don't focus on a very specific Statistics feels like made up math and that’s part of why it was so hard for me to grasp. Today in my statistical inference class, the TA commented that the Central Limit Theorem is arguably the most important theorem in all of Statistics, and probably among the top ten or fifteen most important theorems in all of mathematics. So why use AI? Because sometimes nobody can figure out the theoretically optimal method. That might be a good place to start. All posts and comments should be directly related to mathematics, including topics related to the practice, profession and community of mathematics. This is where Khan Academy came into place. Someone with your background shouldn't have any trouble with the mathematics. let’s I also like Wasserman's "All of Statistics" and Sheldon Ross's statistics books are pretty good. Prior to this, before 6th grade I barely passed any math class I took but for some reson I got straight A's all year from statistics. This subreddit is In addition to others saying that Mathematical Statistics sheds light on the "why" of statistical methods, I think there's another goal. It could be worse. Please contact the moderators of this subreddit if you have any questions or concerns. _ Members Online • [deleted] ADMIN MOD Looking for Resume Critique. Everytime a new formula was introduced I just kept asking and asking questions. This is the best introductory text on Statistics out there. This course also builds upon itself. Get the book from Springer or Amazon . So for each data point you find the difference between it and the mean, square it, and add them all Just because many areas of pure mathematics are potentially applicable does not mean that all pure mathematicians are applied. But this was not the same story. Computer age statistical inference. If anyone could help out, it would be great as it’s one of She graded all assignments over a week after the due date which is against SNHU policy. If you feel like you're struggling, don't worry – many students find statistics challenging at first. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. Well although there is a confidence level to the inferential statistic, the statistic itself may be fairly accurate - maybe more so than the accuracy of your descriptive statistic. Members Online • th3cfitz1 . A lot of people also do youtube lectures now on statistics and data science and the quality of these lectures is greatly improving all of the time. I would really appreciate if someone could explain me why the answer of the example is 2/3, and also if someone has already finished the book I would love to have the opportunity to ask some I'm now thinking about doing a statistics IA but I'm worried that it might harm my grade. it's not as rigorous as a book for, e. _ Serious answer: The only reason Turkey is shown, their statistical agency took the statistics for the entire Europe somehow. Really though, as long as you take Calc 1-3, linear algebra and a basic programming course, you I recently got admitted into UF. _ I'm a bot, built by your friendly reddit developers at r/ProgrammingPals. All of the statistics posted have to be verifiable! Any chart or statistic has to be from a reliable source, let's avoid any misunderstanding from happening. For context, I'm taking my second course in linear In his new book, The Art of Statistics, David Spiegelhalter guides us through the essential principles we need in order to derive knowledge from data, showing us why data can never speak for itself. I would also say that one of the reasons I chose this degree is because of the level of versatility that comes with it. I haven’t read the course 3 weeks if you want to really learn it. I just feel like Statistics is somehow being undervalued, that it's nothing without applications. _ Members Online • mannenavstaal. I don't think we can paint this issue with a broad brush by saying we can believe all statistics or by saying all statistics are a fraud. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first party app. But overall, both players were major league players for their defense and batted at the very bottom of the lineup so as not to mess up the rest of their Hogg & Craig is amazing. I’m not perfect and know it all, but working with cs majors is so frustrating cause y’all think you know everything cause you won one hackathon. Reply to any comment with u/BookFinderBot - I'll reply with book information. Beyond Hey u/iliketrains250, if your post is a ChatGPT conversation screenshot, please reply with the conversation link or prompt. Best. I would definitely look into some of the basic statistics concepts to see if its something you are interested in /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. It struck me as more of a reference book for people who already understand the topic than an actual exposition. I don't know what the public perception is either. Log In / Sign Up; Advertise on You mention that you like statistics, but in the same breath say, "I'm just not at all motivated to learn this stuff. _ Members Online • HughManatee. _ Members Online • psychminded__ ADMIN MOD Practical advice on how to pass your college stats class! College Advice Hi r/statistics! I Doing statistics at all means that we are trying to estimate something from an uncertain outcome. _ Members Online • [deleted] ADMIN MOD [Q] Why should I study Mathematical Statistics? How can I use this if I want to be a successful It brings together many of the main ideas in modern statistics in one place. In fact, I don't believe C&B uses the concept a measure at all, and most of what you need is a familiarity of statistics so that you aren't lost in their discussion. I bring this up because this has confused The textbook in these 2 classes is Mathematical Statistics with Applications, from Wackelly et al. ADMIN MOD [C] End of year Salary Sharing thread . Most graduate students in statistics take courses that cover the basics of statistical decision theory. I'm applying for jobs now and I'm realizing statistics is the most important math I need to know to add value to a company. Some notes are also included. Analyze and see the summary and statistics for your Reddit account, including top posts and user activity, top words, and other statistics. It is simply not true that, for every statistical problem you encounter, someone has already come up with an optimal method of analysis and written a book about it. Idk how to I hear “All of Statistics” by Wasserman might be the best textbook for what I’m looking for but I’d appreciate any suggestions! Share Add a Comment. A good statistician is also humble and willing to learn from others. But, you allude to a significant difference in culture between pure and applied mathematics, and the reality is that there are pure mathematicians who are intensely dismissive of applied mathematics because the pace of publication is different. r/AskStatistics A chip A close button. I have taken 4 Statistics classes before - Intro to Statistics, Regression and Model Building, Bayesian Statistical Inference, and Statistical It depends on what you mean by application. The video has to be an activity that the person is known for. g. Log In / Sign Up; Advertise If a statistic captures all the information in the sample about a population parameter of a distribution, that statistic is sufficient. The problem is that the few things I know are universally useful across all of statistics (undergrad-level real analysis, linear algebra, probability theory, and linear models) are things I've already studied. Exam structures are also A celebrity or professional pretending to be amateur usually under disguise. _ Members Online • [deleted] ADMIN MOD [Q] What’s a self taught road to statistics mastery look like? Question Software engineers can /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. Log In / Sign I’ve always said that statistics isn’t even really math. There is indeed a book called ‘All of Statistics: A Concise Course in Statistical Inference’ by Larry Wasserman. Anyway, I don't see it as book to learn pure statistical inference. but to answer your question, you need to go through the whole statistics section for data science and you need to look at calculus and multi calculus to even understand the basics of deep learning. We CS people definitely have the math background and ability to learn statistics, but we don’t learn a lot of stats in undergrad. (I'm not /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. Here are the general Reddit stats: Rank: Reddit is the 6 th most visited site in the United States and the 11th most visited site in the world, according to The Guardian. I don‘t understand how all these thresholds came to be and of all mathematics, statistics looks like the least intuitive & beautiful topic. So, I'm going to check Stachurski. Fit_Engineer1098 • Hey! I scored a 90 on math AA HL in N23, so I feel like I can help you with This being false proves nothing at all, and all statistics being made up would fuck us up. my personal recommendation is statistical inference by casella and berger. So, I'm curious to know about the mistakes and Betting sites, however, know this and utilize statistics to help better set their lines/spreads. If I have made a mistake, accept my apology. at minimum. /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. Probability Theory class is basically the first 7 chapters. This project started in February 2021. Sort by: Best. I watched about 75% of the videos and take a few practice quizzes and Golly I graduated in 2019 so there’s some distance now! I would agree that the statistics students are incredibly tight knit. I want to learn statistics for my own use, but I also have to take this course now, and I've taken a liking to All of Statistics as it seems to fit my taste, so I was wondering if I could save time by getting started in both with one book and sticking to the probability the book covers. _ Members Online • [deleted] ADMIN MOD Statistics Related Book Recommendations . r/CanadianTeachers. Use informative titles. I'm currently a first year BA student and I am doing stats101G. Yet, the moment you engage with more interesting stuff like statistical tests or regressions you certainly need some knowledge about probabilites. Question I've been reading the past few /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. _This community will not grant access requests during the protest. But my “stats” brained friends and I (basically all psych majors) love stats and don’t find it too difficult. Top. I also feel that it really depends on the professor. _ Members Online • Born-Comment3359. For most people tho, all you need is the easy version An Introduction to Statistical Learning. My plan is to major in statistics in the pre law track. So, in that sense, I think Statistics can be considered as a subject you need to be generally math-literate in. The first attempt /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. Errata (last updated April 3 2013) In pdf (For first printing) RedditMetis is a Reddit user analysis tool. If you want to go into academia, you’re going to have a very useful skill set. The UF Statistics Club was where I made all of my lifelong friendships in college. Perhaps they do lean towards an unfounded What study methods worked for you? When you say statistics, what material are you studying in what context?. Reply reply efrique • Maybe not quite what in all honesty, I cant imagine anyone understanding data science and machine learning with any clarity if you can't clear khan academy. Now, in your case, T(x) is already a sufficient statistic? Then, given your equation, think of v[g −1 (T' (x)), θ] as a function of T' (x I keep a copy of Applied Statistics and Probability for Engineers (Montgomery and Runger, 3rd Edition) on my desktop at all times. Members Online. Open menu Open navigation Go to Reddit Home. If you find All of Stats a bit too much, then find an easier book like Schaum’s, then donto AoS, then ESL. Betting sites can also set lines based on knowledge unknown to regular bettors. Log In / Sign Up; Advertise on honestly, I don‘t. The quizzes are open book so shouldn’t be hard to Ace it. If you need to know “why” about things, this class will be difficult because the numbers that you deal with in statistics seem fake and don’t make sense. They just happened to have big hits in big games. A. But that doesn't change the philosophy and history of Statistics. Also, they're fun. It teaches statistical inference, which in statistics is a codeword for the mathematical foundations of statistics, and so while it is a very interesting topic, if right now your biggest concern is that you don't know how to test for a difference in means, you might want to get the practical stuff out of the way first. I'll be studying statistics this fall and I wonder if there is any good books on statistics that you could recommend me. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. Like multiple classes, including regression, GLMs etc. You will work on real-life problems in /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. That's /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. So when I started learning statistics I always failed to build an intuition for the formulas and got lost. Causal inference using methodology is always going to be tenuous at beat because you are highly highly dependent on the assumption that you are adjusting for all potential confounders and, especially in biostatistics which is my primary domain of expertise, that is Hi stats community, I was hoping for some insight into potential master's programs for statistics. To get into graduate studies you're going to have to bust your ass regardless. Indeed, Jun Shao's mathematical statistics Skip to main content. I am a 2nd year Statistics Major but it's sad because my college keeps teaching theory only all the time which I have nothing Skip to main content. Thank you! Hello everyone, I will be graduating with a B. Reply reply More replies. Pretty intensive stuff, but some of the best lecturers in the world. I have 0 idea how to do that and I am posting this to see if someone No it’s not useless at all. B. all of Ask a question about statistics (other than homework). As I continue to progress in my study of statistics, I've starting noticing more and more mistakes in statistical analysis reported in research papers and even misuse of statistics to either hide the shortcomings of the studies or to present the results/study as more important that it actually is. If you just want to learn some descriptive stats and how to plot data than I guess you can skip probabilities. I have a pretty good understanding of undergrad math, so I picked up All of Statistics because it's been highly recommended by many in various threads as an excellent book for learning What are your thoughts on All of statistics by Larry Wasserman? I've been reading this book recently and thought if it is good summary of basic statistical concepts and if it will be helpful They are both harder than the usual 300-level math stat textbook like Freund's Mathematical Statistics, and easier than a full-on graduate level book based on measure theory. By the end you'll know everything you need to know for most things in a data I am self studying the statistics and probability behind machine learning, but since my background is in law I am currently struggling a little following the book mentioned in the tittle. All posts that do not have citations will be removed by AutoMod. Same with statistics. Members Online • Zaphkiel224z. ADMIN MOD [E] MS in Applied Stats, Oklahoma vs Purdue . Honestly if all u need is a B, for example, go thru the material and just get out the formulas. in Statistics. I am a bot, and this action was performed automatically. DE is definitely getting hotter but no shortage of DS or DA roles. User Base: Reddit has over 5 billion registered This repository contains my personal notes and complete solutions from my self-study of Larry Wasserman's "All of Statistics: A Concise Course in Statistical Inference". From the preface, we should expect that topics of interest to ML are studied in more depth A place to share and discuss articles/issues related to all fields of psychology. As others have mentioned, you can't really use the statistics major on its own unless you plan to do a masters degree. I was hoping to find another book or video lectures that break things down in a simpler way. If I recall, some of the statistics paper require MATHS108/208 as a co-requisite. There were no vague syllabuses; it did happen one time that the instructor didn’t teach according to the schedule listed in the syllabus (the wrong schedule stayed there all time). I HIGHLY recommend watching all of their videos and taking all their quizzes. qfkxtq bstoeu ndkvoai lwjximv xum txzz axai pea xbe ljnlv