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Inferential Statistics

19 resources

Level
Type

📹Videos(1)

video👁️ 0

StatQuest: Hypothesis Testing and P-values

Clear explanation of inferential concepts like p-values and hypothesis testing

beginner🇬🇧

🎓Courses(4)

course👁️ 0

Probability - The Science of Uncertainty and Data

Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference -- Part of the MITx MicroMasters program in Statistics and Data Science.

intermediate🇬🇧
course👁️ 0

Introduction to Probability

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

intermediate🇬🇧
course👁️ 0

Statistics and Probability

Master inferential statistics with Khan Academy's comprehensive Statistics and Probability course. Learn to draw conclusions from data!

beginner🇬🇧
course👁️ 0

Inferential Stats

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population. We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. Normally you would also learn how to perform these tests using freely available software R. Due to technical issues we are not able to do so. We will try to offer this again soon. For those who are already familiar with statistical testing: We will look at z-tests for 1 and 2 proportions, McNemar's test for dependent proportions, t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, Fisher’s exact test, simple regression (linear and exponential) and multiple regression (linear and logistic), one way and factorial analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test, runs test).

beginner🇬🇧

📚Books(3)

book👁️ 0

All of Statistics

All of Statistics - A book resource

intermediate🇬🇧
book👁️ 0

Statistical Inference

Statistical Inference - A book resource

intermediate🇬🇧
book👁️ 0

Practical Statistics

Practical Statistics - A book resource

intermediate🇬🇧

🌐Websites(6)

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website👁️ 0

OpenIntro Statistics

Free online textbook with inferential stats chapters

beginner🇬🇧
website👁️ 0

Distill.pub

Interactive articles on statistical concepts

beginner🇬🇧
website👁️ 0

Stat Trek

Free tutorials on inferential statistics

beginner🇬🇧
website👁️ 0

Seeing Theory

Interactive visualizations for probability and statistics

beginner🇬🇧
website👁️ 0

inferentialthinking.com

Inferential Thinking is a learning resource that introduces inferential statistics with clear explanations, visuals, and practical examples. It offers tutorials, articles, and practice problems covering sampling, probability, confidence intervals, hypothesis testing, and data analysis techniques.

intermediate🇬🇧
website👁️ 0

stats.stackexchange.com

Stats Stack Exchange is a Q&A community for statistics professionals and enthusiasts, featuring questions and expert answers on topics from probability and inference to data analysis and experimental design. It’s a practical resource for learning statistical concepts, getting help with methods, and discussing real-world data problems.

intermediate🇬🇧

🎙️Podcasts(5)

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podcast👁️ 0

Inference Podcast

In a world in which everyone is talking about AI, a real track record is hard-earned. Inference dives deep into data driven organizations and their machine learning operations to understand what it means to work with AI. Our guests range from lead data scientists to founders, strategists and engineers. Learn more about what production ready AI means today with Inference by Silo AI. Your host is Ville Hulkko, Co-founder of Silo AI.

beginner🌐
podcast👁️ 0

The Stats

STAT’s weekly biotech podcast, breaking down the latest news, digging deep into industry goings-on, and giving you a preview of the week to come.

beginner🌐
podcast👁️ 0

Causal Inference

Van der Schaar, M Thursday 15th March 2018 - 11:00 to 12:00

beginner🇬🇧
podcast👁️ 0

Infer Podcast

In a world in which everyone is talking about AI, a real track record is hard-earned. Inference dives deep into data driven organizations and their machine learning operations to understand what it means to work with AI. Our guests range from lead data scientists to founders, strategists and engineers. Learn more about what production ready AI means today with Inference by Silo AI. Your host is Ville Hulkko, Co-founder of Silo AI.

beginner🌐
podcast👁️ 0

The Interval

Many composers struggle to write original and fresh music and get frustrated. At the Music Interval Theory Academy (MITA), we teach a transparent and proven methodology that will help you define your unique musical voice and raise above the generic sound of everybody else. Don't be tricked into believing that most of the composers you admire are (or were) born geniuses. We know that the vast majority of great composers are trained. We know you are the kind of composer who wants to be a powerful and convincing storyteller. In order to be that way, you need to understand the...

beginner🌐

Frequently Asked Questions

What are the best free resources to learn Inferential Statistics?

Dantes has curated 8 resources for Inferential Statistics, including 1 videos, 3 courses, 4 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Inferential Statistics hard to learn?

Inferential Statistics is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Inferential Statistics learning resources are available on Dantes?

For Inferential Statistics, Dantes has curated 1 videos, 3 courses, 4 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Inferential Statistics resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Inferential Statistics, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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