Audiobook version of my textbook ”Modern Statistics: Intuition, Math, Python, R”. All the relevant links to the book, code, and YouTube recordings are available from github.com/mikexcohen/statistics_book For more info about my educational material, visit my website sincxpress.com. You can also google my name (Mike X Cohen) to find my materials on Udemy, amazon, YouTube, and elsewhere.
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Interviews with authors of JAMA Guide to Statistics and Methods chapters about common and new statistics and methods used in clinical research and reported in medical journals.
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This course introduces the statistical methods used to analyze data about society with an emphasis on the application of these methods. This course will help you to be a more informed and critical reader of academic research, public opinion polling, and advertisement claims that present statistical evidence. Textbook: Statistics: Unlocking the Power of Data (https://bit.ly/statsbooklock5) Students can use the Promotion Code "LOCK5" for a 10% discount Instructors can request a free Digital ...
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Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
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AP Statistics Cover art photo provided by Clem Onojeghuo on Unsplash: https://unsplash.com/@clemono2
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Welcome to the statistics Podcast, Where me and my friends Josh, Arjun, And our producer/director, Jeremiah talk about the most relevant sport new that is going on.
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Beating the Statistics Health and Fitness Consultancy Podcast, helping people design healthy lifestyles and systems that make fitness a priority and a pleasure instead of something to dread or endure through.
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Nearly 19% of private sector businesses in the U.S. fail within the first year. After five years, close to 50% have faltered, and by year 10, 65.5% of businesses on average have failed. With these unfortunate statistics in mind, my mission is to unpack and uncover why this is and what the other 34.5% of businesses are doing that has allowed them to beat the odds and flourish. Join us for uncut and uncensored conversations with these highly successful business owners who will uncover thier se ...
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Hi and Assalamualaikum, This channel is created to express my thoughts and sharing knowledge on statistics and other related thing regarding data analytics with some additional entertainment. Hope you enjoy listening to my podcast channel. Please give some feedback on your thought of my podcast. Thanks. Hope you enjoy. Wasalam. My Youtube Channel: https://www.youtube.com/channel/UC-1TuFeMnZN2ZII51d5T2wQ My website : https://nasirdrive1.wixsite.com/nasir916
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Videos can be found on my YouTube Channel: https://www.youtube.com/channel/UCHVyc1NJuYvzpoom-L3nBpg/ More info and notes on my Website: https://blogs.lt.vt.edu/jmrussell/ To support the project you can go here: https://anchor.fm/john-russell10/support Support this podcast: https://podcasters.spotify.com/pod/show/john-russell10/support
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Video presentations (with audio) of Dave Brodbeck's class 'Psychology 3256 - Design and Analysis' from Algoma University. A course on ANOVA
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The Department of Statistics at Oxford is a world leader in research including computational statistics and statistical methodology, applied probability, bioinformatics and mathematical genetics. In the 2014 Research Excellence Framework (REF), Oxford's Mathematical Sciences submission was ranked overall best in the UK. This is an exciting time for the Department. We have now moved into our new home on St Giles and we are currently settling in. The new building provides improved lecture and ...
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Australian Social Trends (AST) podcasts bring you short, easy listening highlights from the Australian Bureau of Statistics' latest release of the AST publication. Each quarterly release of AST contains several in depth articles, which cover many broad areas of social concern such as population, health, work and housing just to name a few. We aim to do this in an interesting and easy to understand way. Other aims of AST are to address current and perennial social concerns and to provide answ ...
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The health podcast series brings you highlights and data snapshots from the wide range of health data collected by the Australian Bureau of Statistics (ABS). The Health podcast will showcase this data in a series of short conversations that discuss Australia's health status following release of data from the suite of health surveys conducted by the ABS. The episodes will discuss a variety of topics, including health risk factors such as smoking and obesity, rates of physical activity and die ...
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Modern Statistics by Mike X Cohen, chapter 14
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This is the audio version of Chapter 14 of the textbook "Modern Statistics: Intuition, Math, Python, R" by Mike X Cohen (Sincxpress Education SRL). The book is available from amazon: https://www.amazon.com/dp/B0CQRGWGLY All code files, and a sample book chapter, are available from my github site: https://github.com/mikexcohen/Statistics_book…
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#104 Automated Gaussian Processes & Sequential Monte Carlo, with Feras Saad
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Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! My Intuitive Bayes Online Courses 1:1 Mentorship with me GPs are extremely powerful…. but hard to handle. One of the bottlenecks is learning the appropriate kernel. What if you could learn the structure of GP kernels automatically? Sounds really cool, but also a…
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Welcome to "Statistics for the Social Sciences" where host Professor Brad Fulton unravels the complexities of quantitative analysis for aspiring socio-scientists. This episode provides a comprehensive introduction to how statistical tools empower sociological research. Professor Fulton discusses the course objectives which include teaching listener…
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On Deep Learning for Medical Image Analysis With Dr Carin
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JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses On Deep Learning for Medical Image Analysis with Lawrence Carin, PhD. Related Content: On Deep Learning for Medical Image Analysis
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In this episode of "Sampling," the complexities of sampling in research are explored, drawing an intriguing parallel to casual weekend trips to Costco for free samples. This analogy sets the stage for a deeper discussion on the statistical methods and challenges involved in sampling populations for research purposes. The intricacies of statistical …
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Dive into the intriguing world of social statistics with our latest podcast episode, "Experiments and Observations," where we unravel how variables from the General Social Survey (GSS) can shape our understanding of societal behaviors and beliefs. Join our hosts as they explore fascinating variables such as LAW1, which probes experiences with robbe…
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In this episode of the podcast titled "Variables," we delve into the intriguing world of statistics and sociology, exploring how different variables can profoundly influence our understanding of societal trends and behaviors. The discussion kicks off by examining the relationship between air pollution and the proportion of paved versus grassy groun…
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In this insightful episode of "Distributions and Relationships," listeners are guided through essential statistical concepts crucial for academic assessments and research. The discussion emphasizes the importance of precisely addressing questions as posed in assignments and exams, stressing that exceeding or misinterpreting questions can detract fr…
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Join us for the opening episode of our two-part series on "Confidence Intervals" in this enlightening podcast episode. We explore the fundamental concepts of statistical inference, using real-life examples like the correlation between smoking and health to illustrate negative correlations in data analysis. This episode provides a thorough explanati…
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In this episode of our podcast, we delve deeper into the concept of “Confidence Intervals,” focusing on how statistical inference can help us estimate population parameters based on sample data. Building on the foundation laid in part one, we explore the roles of population parameters like mean and proportion, and how they can be estimated using sa…
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Welcome to the first episode of our three-part series on “Hypothesis Testing”. This episode dives into the complexities of hypothesis testing, an essential aspect of statistical analysis, through a live classroom setting. We witness a dynamic teaching session where students engage with challenging concepts like hypothesis formulation, sample statis…
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In this enlightening episode of our educational podcast, we continue our exploration into the fundamental aspects of statistics with the second segment in our three-part series on "Hypothesis Testing." Our host expertly navigates through the complexities of hypothesis testing in statistics, focusing on the essential question: What is the probabilit…
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In this engaging final episode of our three-part series on “Hypothesis Testing,” we delve into the intricate world of statistical significance, sample sizes, and hypothesis testing errors. Our host, alongside guest statisticians, breaks down complex concepts into understandable segments, focusing on how different sample statistics like means and pr…
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11_Statistical Sense: Unravelling Quantitative Analysis
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In this enlightening episode of "Statistical Sense," we dive deep into the world of statistical analysis, focusing particularly on the nuances of quantitative variables and their distributions. Our host begins by clarifying the key elements that define a distribution: shape, center, and spread. Highlighting how these elements can significantly info…
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In this episode of our podcast, we delve into the essentials of "Normal Distributions," a fundamental concept in statistics that influences various aspects of data analysis. We start by discussing the performance on a recent exam, highlighting how understanding early lessons forms the foundation for more complex topics. The focus then shifts to qua…
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13_Inference for Categorical Variables (Part 1 of 2)
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In this enlightening first episode of our two-part series on "Inference for Categorical Variables," we delve into essential statistical methods for analyzing categorical data. This discussion centers on foundational concepts such as sample statistics, standard errors, significance levels, and their pivotal roles in hypothesis testing. Through pract…
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14_Inference for Categorical Variables (Part 2 of 2)
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In the concluding segment of our series on “Inference for Categorical Variables”, we delve into the intricate details of statistical analysis with a focus on correlation and differences in proportions. This episode is packed with valuable insights for anyone keen on deciphering how to interpret correlation values, particularly their direction, magn…
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15_Inference for Quantitative Variables (Part 1 of 2)
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In this episode, titled "Inference for Quantitative Variables," we embark on the first segment of a two-part series dedicated to demystifying statistical analysis. Our discussion dives into hypothesis testing and confidence intervals through a practical examination of the General Social Survey (GSS) data. We focus on comparing educational achieveme…
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16_Inference for Quantitative Variables (Part 2 of 2)
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In the concluding segment of our two-part series on “Inference for Quantitative Variables”, this episode dives into the finer details of the normal distribution. Building on our exploration of sample means, we shift our attention to differences in means and correlations. The discussion methodically unpacks the calculation of standard error when com…
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In this episode of the podcast, we delve into the world of statistics with a detailed discussion on “Chi Square Tests”. Our conversation begins by exploring how categorical variables like happiness can be quantitatively analyzed through statistical methods. We discuss the concept of ordered categorical variables, using happiness as a case study to …
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18_Understanding ANOVA: Exploring Variance Analysis in Statistical Inference
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In this episode of our podcast, we delve into the intricate world of “ANOVA (Analysis of Variance),” a cornerstone statistical method used for discerning differences between group means across multiple categories. Our expert demystifies the math behind comparing variances within and between groups, offering a step-by-step explanation that caters to…
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19_Multiple Comparisons: Delving Deeper with ANOVA
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Dive into the intricacies of statistical analysis in this episode of "Multiple Comparisons," where we explore the process of ANOVA (Analysis of Variance) and its application to multiple comparisons in academic fields. Following our previous discussion on ANOVA basics, today we focus on identifying specific group differences after establishing that …
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In this episode of our podcast, we delve into the essentials of “Simple Linear Regression,” a cornerstone analytical technique in both statistics and sociology. In this episode our focus is on understanding and applying mathematical models to predict outcomes based on given data. Today, we're specifically tackling the linear model, which assumes a …
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In this concluding episode of our two-part series on “Simple Linear Regression,” we dive deeper into the intricacies of building and interpreting linear regression models. As the final lecture before the exam, our host emphasizes the importance of proper interpretation of regression results, distinguishing between sample and population models, and …
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22_Demystifying Statistical Methods: Confidence Intervals and Hypothesis Testing
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In this episode of "Statistical Methods: Confidence Intervals and Hypothesis Testing," we delve into the statistical methods of calculating confidence intervals and hypothesis tests, exploring the vital role of the standard error in these processes. As we break down complex statistical terms and methods, we also introduce three different techniques…
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Dive deep into the world of statistical analysis with this enlightening episode of our educational podcast, where we explore the intricacies of “Multiple Regression.” Building on our previous discussions on simple linear regression, this episode delves into scenarios involving multiple predictors to understand complex relationships between variable…
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In the concluding part of our two-part series on “Multiple Regression,” we dive deep into the practical challenges of applying statistical theories to social research. This episode focuses on the intricacies of constructing hypotheses, selecting variables, and the importance of a solid theoretical foundation. Listeners will gain insights into the s…
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#103 Improving Sampling Algorithms & Prior Elicitation, with Arto Klami
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Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! My Intuitive Bayes Online Courses 1:1 Mentorship with me Changing perspective is often a great way to solve burning research problems. Riemannian spaces are such a perspective change, as Arto Klami, an Associate Professor of computer science at the University of…
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#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
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Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! My Intuitive Bayes Online Courses 1:1 Mentorship with me Structural Equation Modeling (SEM) is a key framework in causal inference. As I’m diving deeper and deeper into these topics to teach them and, well, finally understand them, I was delighted to host Ed Mer…
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How to find black holes with Bayesian inference
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Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! My Intuitive Bayes Online Courses 1:1 Mentorship with me Listen to the full episode: https://learnbayesstats.com/episode/101-black-holes-collisions-gravitational-waves-ligo-experts-christopher-berry-john-veitch/ Watch the interview: https://www.youtube.com/watch…
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Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! My Intuitive Bayes Online Courses 1:1 Mentorship with me Listen to the full episode: https://learnbayesstats.com/episode/101-black-holes-collisions-gravitational-waves-ligo-experts-christopher-berry-john-veitch/ Watch the interview: https://www.youtube.com/watch…
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Modern Statistics by Mike X Cohen, chapter 13
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This is the audio version of Chapter 13 of the textbook "Modern Statistics: Intuition, Math, Python, R" by Mike X Cohen (Sincxpress Education SRL). The book is available from amazon: https://www.amazon.com/dp/B0CQRGWGLY All code files, and a sample book chapter, are available from my github site: https://github.com/mikexcohen/Statistics_book…
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Modern Statistics by Mike X Cohen, chapter 12
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This is the audio version of Chapter 12 of the textbook "Modern Statistics: Intuition, Math, Python, R" by Mike X Cohen (Sincxpress Education SRL). The book is available from amazon: https://www.amazon.com/dp/B0CQRGWGLY All code files, and a sample book chapter, are available from my github site: https://github.com/mikexcohen/Statistics_book…
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Mastering Sales, Leadership & Hiring: Andy Audate's Tips for Entrepreneurial Success
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This week on Outwitting Statistics, successful entrepreneur Andy Audate shares his inspiring journey from being the youngest T-Mobile franchise owner to building a thriving software company. Prepare to be enlightened as Andy reveals the mindset shifts, commitment periods, and invaluable lessons that enabled him to outwit the daunting statistics of …
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Patient-Reported Outcome Measures in Clinical Research With Drs Weinfurt and Reeve
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JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Patient-Reported Outcome Measures in Clinical Research with Kevin P. Weinfurt, PhD, and Bryce B. Reeve, PhD. Related Content: Patient-Reported Outcome Measures in Clinical Research
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