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Inferential Statistics

Inferential Statistics

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8.2/10 (Our Score)
Product is rated as #211 in category Data Science

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. You will also learn how to perform these tests using freely available software. 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), …

Instructor Details

My research focuses on quantitative measurement in psychology. I'm interested in the possibilities of combining representational measurement theory and psychometric latent variable modeling to ascertain the measurement level of psychological properties and the risk of inferential error when performing parametric tests. I've recently developed an interest in Learning Analytics research. I'm interested to investigate what aspects of automated feedback about learners' online activity can increase study performance and motivation. Courses I taught - until recently - include Methods and Statistics in Educational Sciences in the CDES research master on multivariate statistics, 'Onderzoeksmethodologie' in the premaster program, an introductory course on research methods, and 'Toegepaste Methodenleer en Statistiek' or TMLS, a second year bachelor course on research methods and statistics. I also used to coordinate the 'OnderzoeksPracticum', a research project course.

Specification: Inferential Statistics

Duration

41 hours

Year

2016

Certificate

Yes

Quizzes

No

52 reviews for Inferential Statistics

4.1 out of 5
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  1. Santanu G

    Excellent Course for Inferential Statistics and Regression Analysis

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  2. june

    It’s an interesting course, and a little difficult to finish.

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  3. Joemert C E

    Challenging and great course..

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  4. Jessica N

    Compared to previous courses in this series, I felt this course did not provide enough detailed examples of how to calculate the test statistics.

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  5. Pankaj A

    Hi, I enjoyed really well and this very good course on Inferential Statistics. My experience was really good. Thank you for providing the course for free!

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  6. Gregorio A A P

    Un super curso , excelente y felicitaciones por vuestro gran trabajo, pero es muy triste no poder disfrutar al 100% un curso de esta calidad traducido en el idioma espanol, les pido por favor si fueran tan gentiles de acceder a esta humilde peticion, gracias por anticipado y nuevamente felicitaciones.

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  7. Tay J

    While I appreciate the staff’s efforts in making this MOOC and would love to thank them with five stars, I decided to give an average rating. I feel like too much material was packed in short lectures so that it is almost impossible to understand them fully (it gets increasingly so after week five). Oftentimes new concepts are explained and gone within seconds, and it largely comes down to memorizing formulas rather than understanding them. It seems like the lecturers were reading off a script that does not necessarily take into consideration the capacity of a student who just began learning inferential statistics. I don’t know if one is already somewhat familiar with the materials or a genius then he or she may not have a problem following the course. But I, having had a reasonably good knowledge in basic statistics before the start of this course (obtained good results in both offline and online upper secondary school to elementary freshman level basic statistics courses), frequently had to watch other MOOCs (e.g. there is a great course on inferential statistics on Khan Academy longer videos for the same topics but they let you grasp the principles firmly) because I simply did not find the course videos sufficient. On the positive side, I found the R labs helpful. On top of that, quizzes and exams were quite difficult for a MOOC, which sometimes caused frustrations but still forced you to put a significant effort to learning. On the negative side of the difficulty, sometimes I was stuck with utterly no way to proceed in the quizzes. Forums are not very active. Because the lectures are short and packed with content, they often did not contain any hands on problem solving procedures, and the student is left with abstract concepts and formulas at the quizzes. From time to time there are errors in the video graphics or quiz questions. In the end, I did pass the course with about 94% final grade. However, I feel like I could have saved some time and frustration had the concepts been explained in more detail in a more learner friendly manner and if there was a way to get some guidance (like hints) when stuck at certain quiz questions.

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  8. Eva

    While the first course Basic Statistic was really thorough with step by step explainations, Inferential Statistics, near the end of the course sometimes rushed through some explanations. Therefor I sometimes needed extra literature to understand the calculations. Still, I highly recommend this course!

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  9. Sonal D

    course is hard you required basic understanding of statistics

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  10. Solomon A

    Great course. Very deep and practical.

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  11. Jackson H

    Videos have massive typos in equations, quizzes are never clear as to how many decimal places they want (sometimes 3, sometimes 4, sometimes rounded), and quizzes require you complete problems but provide no examples in the videos.

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  12. Laurenz R

    Very good explanation of the given topics!

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  13. Thanh H T

    Great!! I’ve completed. Its quite hard initially but it would be pretty easy if you read given Formulas table. Trust me!!

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  14. Wen S

    some minor flaws may exist in the test design. apart from this, all good.

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  15. Lai P Y

    Compare to Basic Statistics, this is indeed a challenging course but worth the effort.

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  16. Md Y A

    I have learned a lot from this course. Thanks

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  17. Gang L

    the teacher is very resposibile for the student, gives me much ideas about inferential statistics!

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  18. Nicholas D

    Incredibly dense (which they warn you about) so the lecutres fly over so much important info it’s hard to keep track of even with a strong focus. A very good overview though.

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  19. Abdirahman M

    Very interesting but challenging course in Inferential Statistics.

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  20. Donald M

    Much more study required than the Basic Statistics course, I completed with 93% by using a notepad, pausing regularly and taking a lot of notes.

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  21. Tran T V

    I love it. Thank you very much!

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  22. Deepak N

    Awesome Learning experience Thank You soo much.

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  23. Francisco P

    It is a great course it will be next course that I shall take when I have more time

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  24. Jiajing G

    The course is nice with much content and clear examples! So happy that I passed the final exam. But some transcripts in the videos are not correct and some steps in calculation were omitted. I hope reviews of quiz and exams are available.

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  25. Grace L

    I don’t feel the videos were sufficient enough to teach the methods for working through the formulas or to efficiently identify which scenario a certain formula was to be applied. The quiz instructions were vague and it was extremely difficult to know exactly what was being asked or which formula to apply. Often I had to result in giving my best guess. Forums were not helpful. Most questions were two years old or a few months old at the earliest and answers were not helpful. This course is especially confusing for beginners. I don’t see how people have actually been able to learn from this course. With Basic Statistics course I at least felt I got a good basic understanding of the material. This course went miles over my head.

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  26. Gyongyi C

    Useful and understandable.

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  27. Gerard Y

    A pity: the learning objective is really interesting, but the course quality does not live up to expectations. Teachers rush too fast into videos, without taking time to elaborate on terms used in formulas, elaborate with one example, explaining pitfalls, or explaining how we should do things in practice (for example in relation with statistical software). Examples lack variety: I liked the videos on Chi Square test which used a different analogy with paintings. Variations on cats statistics tend to blend together in memory, and be less efficient. There’s also a lack of written textbook that we can consult as a reference. The tables and formulas pdf file is a start, but is lacking many formulas and tables, explanation of data used in formulas; some sections are not even in English. Last point (I keep the positive at the end), the codecamp was really good overall.

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  28. Elpida S

    First of all, it is a very demanding course. I claim that it could not be easy for everybody to complete it especially in the field of Social Sciences. Secondly, we must attend a lot of material. Both quiz and assigments are so challenging. That means that is a very stressful proccess, each of us should devote so much time in order to keep up with the deadlines. Moreover there are a lot of theoritical videos , a lot of types, of course is very difficult to put into practice.. All of the learners have busy life ( I suppose) and this course really does not help at all.

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  29. Benjamin H

    Wow! This course was challenging!

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  30. norbert b

    wonderful

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  31. Dragos A

    The course is too compressed in my opinion but if you make it past the second week, the learning curve is not that steep anymore.

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  32. Zainab H

    This course was relatively difficult for my slow brain. I learned A LOT. but I still feel the need for doing this course one more time

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  33. Arman B K

    Completing this course requires perseverence but it is 100% worth it. There’s a lot of material covered and the videos simply provide signposts for the topics but one doesn’t learn statistics by watching videos. The real learning takes place during quizzes and assignments. The final exam is time consuming and tough and students need to truly master the material to earn a high grade.

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  34. gerardo r g

    This course is very helpful for people intereted in quantitative research

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  35. Muhammad A R

    loved the way, you carried a statistics virgin like through the course

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  36. Saurabh P

    Really a great course. It covers almost everything that is important in the subject. But maybe it could have been made better by adding the exercises more often than it is now as it covers a lot of syllabus.

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  37. Ute T

    Week 1 to Week 5 were well explained, however the quality of the videos declined steadily to the end of the module. Many inconsistencies between video audio written text. Most upsetting was quality of Week 6. In comparison to the parametric statistic parts which were super well organised, structured in assumption hypothesis test statistic and anything else important, the Week 6 was terribly confusing. It did not contain the most important formulas and explanations (I was researching online on other fora to reply to the quizz). I suggest a full review of non parametric statistics, as it is an important chapter for many social scientists working with smaller sample research. I really think this has been neglected over the previous parts. Also in comparison to Module of Basic Statistics, this one has not had a great quizz section. There are no hints of what might have gone wrong when answers are wrong, so the learning effect is 0 if we get answers wrong.

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  38. Syberen v M

    I took this course as a follow up to “basic statistics”. The course is dense and fast paced, so that’s something to prepare for. Here are my observations: The good: The R labs are a lot better compared to basic statistics, where they were a disaster. You’ll put to use the built in functions in R to calculate your results. Also the general amount of information is nice, I feel like I learned a lot about inferential statistics. The bad: Sometimes the videos are too fast, functions are shown for 2 seconds not allowing time to absorb the material. I often have to go to other sources to clarify what was meant. Also frustrating is that there’s no feedback on the exams, you’re left to guess what you did wrong. Multiple times I found out that it was a rounding error, but the amount of digits are not specified in the question, so you have to re take the exam several times until you find the expected amount of digits. Finally, some of the required formulas are not included in the “formulas and tables” document. I hope this will be fixed, since this is essential to passing the course successfully.

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  39. Oluwatobi M

    Enjoyed it. The tutors are amazing in how they help you understand each topic and the workings around it.

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  40. Marcos L

    Good course. Very well explicate and good for learning R code.

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  41. Sara J

    Terrible confusing questions in final… never take this if you are a beginner! Incredible to see I am passing all quizzes and R labs given the lack of supervision and guidance from professors (this is after I have consistently sent emails and asked for extra help). PLEASE revise this whole course for the sake of education.

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  42. Yanbing S

    It’s good for a person who needs a certificate urgently. But not good enough for someone who wants to master the subject. The course is very rigorous in terms of the depth and width of the content. But for the later weeks, the videos were so succinct that many details are not explained well. For a beginner, this is apparently insufficient. I had to look it up on other websites to know what they are talking about (I also wished they had recommended a textbook). Also, the lack of practices also makes the course less valuable for someone who wants to actually be good at it.

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  43. Mariana A F

    I really liked the course. I wish my college professors would take the time and effort to make their courses as great as this one.

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  44. RAVIKA C

    It is a little tough. But has a good amount of syllabus!

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  45. Priscilla R C

    It was a great class, it was difficult but it healped me learn a lot!

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  46. Lyra F

    The course helped me learn the main tenets of applied inferential statistics (I see it as applied because not much mathematical explanation on how the formulas came about here). Although my execution of statistical tests is not perfect by the time I completed it, I have largely understood what tests to use in what circumstances and to analyze problems in a statistical way. I appreciated Anne Sylvie’s clear delivery and the effective visuals in the videos. Without the visuals, it would have been hard to keep up with the pace of the course. The one star off is for the occasional confusion in delivery and questions in the final exam.

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  47. William

    The content is great, the problem is, some of the questions and terms used in video and quizzes confused the students.

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  48. Francisco J G L

    Me ha hecho sufrir , estoy alegre de haber pasado OUIIIII

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  49. RAMIRO C

    I loved the course. Fantastic in every way

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  50. Marcelo B

    Excellent course content. The only thing to improve is the statistical package (You could teach SPSS) and the evaluation process (Some questions are intended to deceive rather than to evaluate learning).

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  51. Patrick C

    I felt this course was educational and worth the effort…. BUT it was effort. The lecture progressively got more difficult to tease out the necessary nuggets of info for the exams.. Glad its over…Would not like to do it again

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  52. Kareem k

    This course is billed as a beginner’s course, but the lecturers just glance over some really complicated question and are awful at explaining them. If you are looking to learn some statistics just go to Khan Academy, they do a much better job at this and its free. If you are familiar with statistics but need a refresher then this might good for you. If, like me, you are a beginner, stay away!

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