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Volver a Probability and Statistics: To p or not to p?

Opiniones y comentarios de aprendices correspondientes a Probability and Statistics: To p or not to p? por parte de Universidad de Londres

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354 reseña

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We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Indeed, we should be on the look-out for "black swans" - low-probability high-impact events. To study, or not to study? To invest, or not to invest? To marry, or not to marry? While uncertainty makes decision-making difficult, it does at least make life exciting! If the entire future was known in advance, there would never be an element of surprise. Whether a good future or a bad future, it would be a known future. In this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making. Key topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course....

Principales reseñas

30 de abr. de 2020

I would like to thank Dr. James Abdey for his wonderful explanation of probability and statistics in a short time. I definitely learnt many things which I can make use in my further courses. Thank you

23 de jun. de 2020

Excellent introductory course for probability and Statistics, Dr. Abdey made the course very lively with his approach of teaching. Hope to see many more online courses from you in the future.

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326 - 350 de 351 revisiones para Probability and Statistics: To p or not to p?


1 de oct. de 2020

excellent course with smooth conduction

por Eyob A

5 de nov. de 2018

funny charming and full of numbers

por Ritesh R

9 de jun. de 2019

God course for beginners level.

por Chaitanya K

19 de may. de 2020

very informative and helpfull.

por Ichcha R

29 de abr. de 2020

The host is really good....

por Tanguy P

14 de abr. de 2020

Very good beginner class

por Suramya S D

14 de may. de 2020

well presented course.

por Anamika S

6 de may. de 2020

I enjoyed this course.

por Mayur P K

10 de sep. de 2018

Great Course.

por Kaushal S

24 de may. de 2020

Great course

por Ahmad H J M J A

19 de jun. de 2020


por Aun A

22 de may. de 2020

In an introductory statistics course, there was no need of discussing the Monty Hall Problem, Decision Tree Analysis, Monte Carlo Simulation etc. Time saved by foregoing these could have been utilised for incorporating some mathematical rigour. Without math anyone's undertanding of statistics and its usability will always be restricted.

The PDF notes were a good thig to use in a MOOC.


27 de mar. de 2020

The subject was interesting and he did brought new topics which i liked but it was a bit draggy at times which made me to loose attention. Overall i liked it - especially the Monty Hall problem formulation and Bayesian update. The topic on p-value is still muddy for me.

por yogita k

6 de jun. de 2020

last week's content was too short. It will be great if one more week is added to the course where the students can learn more about decision trees, linear modeling, and regression.

por Irem K

23 de may. de 2020

The Professor can't get to the point easily and he's clicking his tongue all the time, it's unbearable for people with misophonia.

por Daniel D

9 de may. de 2019

Nice overall introduction to statistics, but suffers from bad grading mecanism when perofrming peer graded assignments.

por Yogendra C

19 de may. de 2020

the course is good but the first two week are boring and there I have lose my interest in this course

por Deepa N

28 de sep. de 2020

Not as much hands on as I hoped


11 de may. de 2020

Easy to teach Probability

por Naing​Lin​Htut

2 de jun. de 2020

I achieve new knowledge.

por Chryso H

7 de may. de 2020

It's good to have an intro to statistics course but the tutor makes the course difficult to stick to. I'm talking about his teaching style which is slow and painful. Following suggestions from other reviews increased the speed of the video so I can bear listen to him. He needs to drop the unnecessary jokes and focus on the teaching delivery. He also needs to include more visual aids as he talks. This is not abstract module about theorising. It is important to have the slides along what he's saying. Also, some of the material in his long lectures are not covered but then included in the reading. For an intro course this should be corrected. He needs to introduce all important concepts that will appear in the quiz. In his lectures he goes on and on and on and the substance of each lecture is like only 1/5 of the actual length of the lecture. Finally, there's a script issue with the formulae in the quizzes. You end up relying on other learners to find out what the problem is. The tutor needs to be responsible for this.

por Stacey J

25 de may. de 2020

This is my third Coursera course and the first which I did not enjoy. Many issues with being able to read the formulae in the quizzes and assignments. These were displayed bizarely and not the same as the video lectures nor the course notes. This is difficult information for many people to understand so consistency is key. In addition, I have not seen one response from a moderator (other courses had moderators responding to questions). In any type of math, stats courses it is imperative to have moderators helping students to ensure misinformation is not learned from student to student learning.

por grace e o

30 de abr. de 2020

much lower level than expected. nice course for people who've not done alevel stats.

por Anthony B

8 de jun. de 2020

It's poorly done. The transcript of each video does not match the video. The professor continually uses mathematical notation, which may be fine for discussing statistics with statisticians. However, for students learning statistics, it's over the top. Just say "mean" instead of "X bar." I am a firm believer that if you can't explain something simply, you don't understand it. This course was not explained simply and gives few real-world examples. It's an academic course by a poor teacher who speaks in mathematical notation instead of plain English. Look elsewhere if you really want to learn statistics.