Basic Statistics

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Below are the top discussions from Reddit that mention this online Coursera course from University of Amsterdam.

Offered by University of Amsterdam. Understanding statistics is essential to understand research in the social and behavioral sciences. In ... Enroll for free.

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Taught by
Matthijs Rooduijn
Dr.
and 1 more instructor

Offered by
University of Amsterdam

Reddit Posts and Comments

0 posts • 20 mentions • top 16 shown below

r/politics • comment
7 points • The_Truth_Project

Sick burn, bro.

Really though, the person who responded to you was totally right. Check this out: Coursera: Basic Statistics

It'll help you get more bite to your trolling comments because they won't be able to be laughed away as an idiot commenting on things they don't understand.

r/ukpolitics • comment
7 points • gamby56

Thats irrelevant to whether your descriptive statistics mean what you claim they do. Either you used the statistics you did cynically, and anyone who didnt notice deserves it pointed out, or you did it credulously; in which case you deserve it pointed out.

Im going to assume it was credulous since I can't know what you were thinking, and im not in the habbit of calling random people liars.

Given that the vast majority of voters in the last UK general election didnt have an option they could have chosen to register their support for scottish independence, it isnt valid to use the proportion of those voters to measure the opinion towards the matter either way. Thats the case even in a "rough and ready" or "back of the envelope" way.

This is because those voters, who were not provided with such an option, couldnt provide a full spectrum of information about the question to which the option relates. It doesnt matter whose fault it is, or why they werent given such options. The brute fact of the matter is that they weren't.

Statistics, such as percentages, don't have any argumentative weight on their own. Maths is just a language that can be used to describe reality, fiction, or even to lie. As such, numbers need some form of context to be useful in forming opinions about the world. Its that context that gives, or fails to give, the numbers their real world meaning.

Statistics, to stretch the analogy, is just a dialect particularly suited to describing things like how many cats are indoor versus outdoor pets.

If we were polling on that matter and more than 90% of respondents were dog owners, who our researchers asked questions about whether their pet plays fetch, rather than whether it is an "indoor" or "outdoor" pet, then you need to exclude those responses before deriving statistics about indoor and outdoor cats.

Thats true even if 90% of those dog owners also had cats. If if they lacked sufficient options to provide information relevant to the question, then there's no basis to infer anything either way. We just don't know about those potential indoor or outdoor cat owners.

This is why presenting the aggregate percentages, as you did, is wildly misleading in the voting context that you yourself have aknowledged. The responses of the vast majority of voters in the 2019 general election of the UK simply don't give if firm information either way on their opinions about an issue they didnt have a range of options to respond to. We just don't know about those potential scottish independence supporters, sympathisers, detractors, cynics, etc...

All that said, I do agree with you that the question of UK wide opinions is an interesting one, and I don't consider it entirely irrelevant either. IIRC there has been some polling on the question, and the results might interest you. Google is your friend there.

Oh a final thought: a few years ago now I completed this free course to brush up on some rusty statistics skills. You only need to pay to access things like marked assessments: the info is available for free and is well explained.

The other bit behind the paywall are segments teaching the basics of using R to compute stastics like percentages, but also inferential stastics that allow you to ask questions like how related are two things. What I did was complete all the "theory" content for free and then did the "practical" stuff during the free trial there.

Anyway, what really got me about the course is how clearly they explained what the numbers really mean, in plain english. If youre in the habbit of using statistics to form your opinions (which I think is fantastic) then I'd highly recommend it as worth your time. It would certainly give you a stronger grasp of statistics than most MPs seem to have, even the high profile ones.

r/AcademicPsychology • comment
1 points • brianspitzer

>STAT by Heiman

Hmm, there's a chance you might not be using a statistical program. Your best bet would be to find out who is teaching the course and reaching out to see the syllabus beforehand. To prepare, you might try to get your hands on the book early and practice. There's also a fantastic free Coursera class from the University of Amsterdam.

r/statistics • comment
1 points • aR3alCoo1Kat

How about this course?
https://www.coursera.org/learn/basic-statistics
I'm trying to decide between the Duke course, Khan Academy, and the one I linked

r/singapore • comment
1 points • ojjmyfriend

Can try Coursera! Did a quick search and found this

r/umsimads • comment
2 points • rwong48

I was referring to a couple courses specifically for the exam prep. They are private courses that you get invited to after applying, about 2 months before the latest that you can take the exam (you bet I milked it).

For review content, UMich has a statistics with python specialization, but the exam just uses a calculator. I found Basic Statistics by University of Amsterdam more appropriate for preparing for the exam.

r/AskScienceDiscussion • comment
2 points • deadpanscience

You don’t ever need a degree to learn things, of course! There are tons of free online resources nowadays like coursera. Here is a basic statistics course: https://www.coursera.org/learn/basic-statistics. That will help you a lot. After that you can read how to lie with statistics https://www.google.com/search?q=how+to+lie+with+statistics&rlz=1CDGOYI_enUS782US783&oq=how+to+lie+with+statistics&aqs=chrome..69i57.11684j0j4&hl=en-US&sourceid=chrome-mobile&ie=UTF-8

r/WanderingInn • comment
7 points • KJ6BWB

So you want to write a story but don't really have any idea of the main part of what you'd be writing about, and you only have the bare bones of a plot?

> Probability deals with predicting the likelihood of future events, while statistics involves the analysis of the frequency of past events. Probability is primarily a theoretical branch of mathematics, which studies the consequences of mathematical definitions while statistics is primarily an applied branch of mathematics, which tries to make sense of observations in the real world.

I recommend taking a few months and working through:

  • https://online.stanford.edu/course/probability-and-statistics-self-paced
  • https://www.class-central.com/mooc/2309/udacity-intro-to-descriptive-statistics
  • https://www.class-central.com/mooc/3048/edx-soc120x-i-heart-stats-learning-to-love-statistics
  • https://www.class-central.com/mooc/2244/edx-ut-7-01x-foundations-of-data-analysis and the part 2
  • https://www.coursera.org/learn/basic-statistics?siteID=SAyYsTvLiGQ-PK0cKnVLZVCAlLaxRqNOkg
  • https://www.coursera.org/specializations/statistics?siteID=SAyYsTvLiGQ-EcjFmBMJm4FDuljkbzcc_g
  • https://www.class-central.com/mooc/1496/edx-6-041x-introduction-to-probability-the-science-of-uncertainty

You're going to need to understand statistics/probability to figure out the plot, because you're going to want the protagonist to discover/notice things that tie back in with the math.

Now you can handwave most of this, but you're still going to need at least a bare plot: the characters (protagonists, antagonists, and NPC's), the climax points, setting, etc.

r/CFA • comment
1 points • colour_from_space

This one helped me out with Quant - https://www.coursera.org/learn/basic-statistics/home/welcome.

​

That said, it's probably better to try CFA-specific courses as the other comments suggest. I was super-weak in Quant, and was then not aware of alternatives to Schweser notes.

r/microdosing • comment
1 points • Dieter_Pootisspencer

You can NEVER completely remove the placebo effect. Because you are always aware that there is A POSSIBILITY that the drug is real. I doubt you even understand what the Placebo effect is. I don't microdose either but many people on this sub have told me the effects are MEANT to be subperceptual. Some people dose 2 ug, u think that's perceptual?? Moron. WTF does it matter, LSD or shrooms, mostly the same thing. Its not the point.

I found this beginner's course in STATS you might wanna look into it:

https://www.coursera.org/learn/basic-statistics

The whole reason you that you're arguing with me while I wasn't even asking u anything tells me you're full of shit.

r/AcademicPsychology • comment
1 points • PinkLotusFlower127

Thank you so much! I think I found the course you are talking about :) I am linking it here for anyone else interested!

​

https://www.coursera.org/learn/basic-statistics

r/skeptic • comment
1 points • Peter_Weller

You just don't understand the way science uses statistics to evaluate whether the results are due to chance. If you did you would understand why your statement is nonsense. I don't have time to provide you with a tutorial. I recommend enrolling in https://www.coursera.org/learn/basic-statistics. I invite you to ask me questions if you have difficulty during the course.

I have better things to do. I leave you with this review

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420889/

r/IncelsWithoutHate • comment
1 points • luvidepenu

Please finish school before deciding to larp on random places on the net.

You are literally a kid, who doesn't know anything about the real world. You have 0 valuable insights to offer, and 0 new ideas about incels.

If you really want to look into inceldom You need to do a review of literature, starting with:

  1. https://www.coursera.org/learn/basic-statistics

  2. https://en.m.wikipedia.org/wiki/Evolutionary_psychology

  3. https://incels.wiki/w/Scientific_Blackpill

  4. r/blackpillscience

r/epidemiology • comment
2 points • alejo_sc

I did a lot of online review to prepare me for my Masters program, mostly through Coursera. They have a lot of great Biostats and Data Science courses:

Basic Statistics - University of Amsterdam

Epidemiology: The Basic Science of Public Health - University of North Carolina - Chapel Hill

Statistical Reasoning for Public Health - Johns Hopkins University

Mathematical Biostatistics Bootcamp Johns Hopkins University

I don't know of any resources for developing your SPSS skills, but Datacamp helped me a ton with learning R.

r/datascience • comment
3 points • prashant9321

https://www.coursera.org/specializations/jhu-data-science

https://www.coursera.org/learn/probability-intro

https://www.coursera.org/specializations/executive-data-science

https://www.coursera.org/specializations/data-science-python

https://www.coursera.org/learn/inferential-statistics-intro

https://www.coursera.org/learn/basic-statistics

https://www.edx.org/course/statistics-and-r

https://www.edx.org/course/using-python-for-research

https://www.edx.org/course/python-for-data-science

https://www.edx.org/course/statistical-thinking-for-data-science-and-analytics

DataCamp.com

r/programming • comment
3 points • jlemien

Yes, there are many free courses that you can use to learn the prerequisite mathematics. KhanAcademy would be my first recommendation, but you can also try some of these:

Inferential Statistics https://www.coursera.org/learn/inferential-statistics

Bayesian Statistics: From Concept to Data Analysis https://www.coursera.org/learn/bayesian-statistics

Inferential Statistics Intro https://www.coursera.org/learn/inferential-statistics-intro

Bayesian Statistics https://www.coursera.org/learn/bayesian

Basic Statistics https://www.coursera.org/learn/basic-statistics

Introduction to Probability https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2

Introduction to Linear Models and Matrix Algebra https://www.edx.org/course/introduction-linear-models-matrix-harvardx-ph525-2x-2

Intro to Descriptive Statistics https://www.udacity.com/course/intro-to-descriptive-statistics--ud827

Intro to Inferential Statistics https://www.udacity.com/course/intro-to-inferential-statistics--ud201

Mathematics for Computer Science https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/index.htm

An Intuitive Introduction to Probability https://www.coursera.org/learn/introductiontoprobability

Statistical Inference https://www.coursera.org/learn/statistical-inference

College Algebra and Problem Solving https://www.edx.org/course/college-algebra-problem-solving-asux-mat117x

Precalculus https://www.edx.org/course/precalculus-asux-mat170x