Stat 1000: 5 Tips on How to Study & Learn This Course

Published: Fri, 09/13/13

Five Tips on How to Study and Learn This Course
Here are five important suggestions I have on how you should approach learning this course.
(1)   Do not treat your hand-in assignments as "open book", and do not start working on them too soon.  That is a ticket to disaster in this course.  I suggest you don't even start working on your assignment until about three days before it is due.  Prior to that, focus on studying the appropriate lesson in my book.   You can then supplement my lessons by studying the appropriate material from your class notes and textbook if you wish, trying to achieve a full understanding of the concepts.  Treat your assignments as a test of your knowledge.   Your goal is to be able to do 80% or more of an assignment without any assistance whatsoever.  If you achieve this goal, you will build confidence.  In addition, you will find you often need no more than an hour or two to do the assignment.  Students who, instead, decide to "learn" how to do the questions while working on the assignment will frequently spend 10 to 15 hours doing the assignments, and will actually learn very little.  Instead, they have temporarily learned it just to get the assignment over with.  A constant refrain I hear in this course is, "I don't get it.  I was getting such good marks on my assignments, but I bombed the exam."  That is because students have never treated the assignments as tests of their knowledge and have papered over the cracks in their understanding.

(2)   Set yourself clear goals each week.  For example, decide what lesson in my book you are going to study and attempt to master each week (I will also direct you each week in my tips as to what lesson you should study in order to prepare for a current assignment).  If you have a goal, then you can devote the time to achieve the goal.  Maybe you end up thoroughly learning the lesson in one day of study, and you can reward yourself with a few days off from stats.  If the lesson is proving difficult to learn, you can parcel it out over a few days of study.  It is better to take a break if the information is evaporating the minute you read it because you just can't think straight, than wasting another hour or two getting nowhere.  Often, after a rest or diversion, something makes a lot more sense than it did initially.

(3)   Pick a day in the week that will be your Review Day and stick to it.  On that day, go through all of your old assignments (starting with the most recent and working backwards) and test yourself.  Do you still know how to do the questions?  Maybe even redo some of the questions if you think they will be a good workout.  Obviously, if you don't remember how to do a question, go back and learn how.  Also, re-read the summaries I include at the end of each lesson in my book to remind yourself of all the key concepts you should know at this point and, if necessary, go back to the appropriate sections in my book to solidify your understanding.  If you review on a weekly basis, you will not have to cram in a bunch of info a couple of days before your exam.

(4)   Never waste time trying to figure out how to get JMP to work!  Anytime that JMP is required in an assignment question, rest-assured that I will include step-by-step instructions in my assignment tips showing you how to do the JMP component.  Feel free to have these steps in front of you as you do that part of the assignment.  This course is not going to be an exam on JMP.  Your job is to learn and practise the statistical concepts.

(5)   Purchase the Multiple-Choice Problem Set for Stat 1000 by Smiley Cheng at the UM Book Store or get a used copy somewhere like Archives.  That has lots of old exams and additional questions.  The appendices of my study book includes step-by-step solutions to everything in that book.   If you have been doing a weekly review, when an exam is approaching, sit down and go through as many old exams in the Cheng book as you possibly can to polish your skills and increase your experience.