Intro Stats Technology Update Pearson International Edition

DeVeaux, Velleman, Bock*

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Data Analysis 1 Lecture Notes

These notes were my saviour, struggled with understanding throughout the semester (willing to acknow...

61 pages, 11674 words

Minitab cheat sheet

This covers the relevant required knowledge from weeks 1-11. This cheat sheet helped me during the M...

5 pages, 1299 words

University of Melbourne: MAST10010 - Data Analysis 1 (H1: 90%)

University of Melbourne: MAST10010 - Data Analysis 1 Score: H1 (90) I had an average in the 60s...

49 pages, 8775 words

Stuart

$70 per hour

Maths Graduate with First Class Honours| 5 Years, 3000+ hours of tutoring experience| 99.80 ATAR| Fr...

Ben

$45 per hour

Completed a Mathematics and Statistics degree at Melbourne Uni with First Class Honours. Been tutori...

Toby

$60 per hour

I am an enthusiastic Data Scientist, holding a Master's degree in Data Science from The University o...

Balu

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Hello, I recently completed a PhD in astrophysics from the University of Melbourne. My research p...

Reviews

The lectures were extremely hard to follow, so I rarely even watched them and opted to self-study the content using other online resources. I only managed to get by because I remembered most of the stats content I did in high school and just worked on practicing what I knew. I don't really feel that I learned anything of value, and as someone who personally loves learning statistics, I found this subject so dull. The questions solved in tutorials seemed convoluted to me (It would've been so helpful to solve simpler questions first and then move onto the "tricky" ones.) The lecturer wasn't very good at explaining concepts concisely, which is why I mostly studied using Youtube and other textbooks. That being said, the assignments were alright and the past papers we were given were pretty good practice for the final. I'd agree with the previous reviews and recommend taking a different maths/stats subject. Similarly to one of the previous reviews, I found it really frustrating that free online resources were much better than the lectures/materials we were provided...

Anonymous, Semester 2, 2020

This subject is full of really useful and valuable information, however the standard of teaching this semester was atrocious. Lecture slides were full of mistakes (spelling, grammar, calculations etc.) and inconsistencies (chancing decimal places randomly between slides). When the lecturer would make a verbal mistake, she would just keep talking as if nothing had happened. The course guide hadn't been updated, so dates and consultation times and locations were wrong, and no information reflecting the COVID-19 pandemic was added. Information about the final exam was inconsistent, with the number of hand-written notes allowed in the exam changed a week before the exam. The lecturer would promise to post additional materials online that were not covered in the lectures, but wouldn't post them until follow-up emails were sent. It was easier, faster, and less of a headache to just use online videos and try to decipher the important parts from the lecture slides than to bother watching the lectures. In summary, unless you really need this subject, don't bother. Take another statistics or data analysis subject.

Anonymous, Semester 2, 2020

Edited to say that I really recommend that you take a different maths and stats subject (this review was below the 2 star review from this sem that refers to the 'previous review'). ---- Maths and stats doesn't have to be hard, but it is no wonder that people struggle with it when you have subjects like this. The level of incompetence and apathy of the teaching of this subject is why people hate maths. The lectures are very difficult to understand, sometimes to the point of being totally unintelligible. Notes, lecture slides, and LMS are completely riddled with spelling mistakes. I have to look at what topics we are covering each week, then I use Khan academy or find videos on youtube with someone else explaining the concepts because the lectures are just so bad. How are free resources far better than a course I am spending a lot of money on at australia's "number one" university? Pretty disgraceful. . NB: The lecturer 'Sharon' mentioned below is no longer the lecturer in this subject.

Anonymous, Semester 2, 2020

Completely agree with the previous review, the lectures are horrible and painful to endure as the sole lecturer of the subject frequently struggles with English and makes mistakes in the lecture slides to the point where it genuinely obstructs learning and is plain embarrassing for the supposed "number 1 university" in Australia. The lectures and lecture slides are also organized very incoherently on the LMS, with the videos and slides being hosed on individual pages and modules instead of the LMS's usual structured lecture capture format (which all my other subjects are somehow still able use strangely). The labs and tutorials seem okay, but the quality of teaching does seem to vary wildly depending on which tutor you get.

Anonymous, Semester 2, 2020

A lot of abstract concepts and formulas but they're useful stuff. I was a bit confused in the beginning, but things started to make a lot more sense towards the end of the semester. It's fairly easy to get good marks for the assignments as long as you put in the work. Really easy 10 marks for the quizzes (allowed 3 attempts).

Anonymous, Semester 2, 2017

The lectures are fun, Sharon was hilarious sometimes. And she simplifies the complex knowledge. The web tools can simulate doing experiments and graphing, really good to play with.

Anonymous, Semester 2, 2016

If you are one of those last minute cram kid I highly advise NOT to take this subject. Content is not very interesting unless you find statistical formulas and looking at graphs fascinating. Know how to use Minitab and go to the labs and ask your questions. Exam is not that bad if you have practiced a lot. Would not recommend this subjects though.

Anonymous, Semester 2, 2016

A great introduction to data analysis, it can be really confusing at the start but if you work through the examples carefully, everything will start to make sense in the end. By week 12 everything that seems vague and confusing will suddenly form into a big picture ! the lecturer is so nice and the tutors are very helpful as well, I highly recommend the subject (despite it is quite difficult indeed! )

Anonymous, Semester 2, 2016

I didn't understand a lot of things in the beginning, but as the topics build onto one another, it gets easier to grasp the concepts over time. Sharon is a really fun and interesting lecturer, and she is always ready to help whenever you have a problem. The lab test was pretty easy, as long as you've done the lab sessions.

Anonymous, Semester 2, 2016

honestly too hard

Anonymous, Semester 2, 2015