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I'm teaching my first class this fall (Intro to Biostatistics). Anyone have any suggestions for teaching statistics better? Perhaps some example you wish your first teacher had used? I'm using Principles of Biostatistics by Pagano and Gauvreau.

EDIT: DETAILS

This class is an online class that meets twice a week for 1.5 hours. Students will listen to me lecture while viewing a powerpoint/beamer presentation (boring?) mixed with a little tablet/pen action (exciting?) This class is VERY beginner statistics stuff, taught to mostly biomedical engineers (undergrads) and some non-statistics graduate students (nursing, medical students, public health, etc)

Syllabus:

1) What is biostatistics?

2) Probability

3) Diagnostic tests (i.e. specificity, sensitivity, ROC curves. Mostly here b/c it allows us to apply some of the things we learned about in probability e.g. Bayes rule)

4) Distributions

5) Sampling Distributions

6) Confidence Intervals

7) Hypothesis testing (one sample, two sample, proportions)

8) Power and Sample size calculations

9) Non-parametric methods

10) Contigency tables (chi-square test, fishers test, mcnemars test, relative risk, odds ratios

11) correlation

Main object is for students to learn the core concepts of statistical inference e.g how do you quantify the question "Which drug is better?" stuff like that.

For the sections listed above, do you have any words of advice/caution for teaching them.

For example: I've seen/heard of many different approaches to introducing students to the wald test vs the score test when doing inference on proportions. If taught poorly, students easily get confused ("Why are there two of these?", "Which one do I use?", "They look the same to me.") Some teachers don't even mention these names and just say: Do this for confidence intervals and this other thing for hypothesis testing. How would you approaches this problems or others like it?

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    $\begingroup$ teaching statistics better is pretty broad - can you perhaps ask for more specific advice? This is IMO not on topic, but if you can be more specific I suspect it will be closer to on topic. $\endgroup$ – Andy W Aug 6 '13 at 19:08
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    $\begingroup$ I agree w/ @AndyW. This is too broad at present to be answerable. But I do think if you can make the question more focused it could easily be on-topic. As for general advice, I would say have fun. If you're having fun, the students will too; if you're bored w/ the material or think it's drudgery since the students won't learn anything anyway, they'll hate the class. Fortunately, I enjoy talking about stats ;-). $\endgroup$ – gung Aug 7 '13 at 0:45
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    $\begingroup$ The question might be a better fit for academia.stackexchange.com. $\endgroup$ – QuantIbex Aug 7 '13 at 8:40
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    $\begingroup$ @Quantlbex Perhaps, but it is so specialized it's likely to get better treatment here. But it presently is too vague and broad to be answerable on either site: "better" than what? What are the aims and contents of the course? The level, preparation, and motivation of the students? Their number? The course format? The amount of time? Etc, etc. $\endgroup$ – whuber Aug 7 '13 at 12:40
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Here are a few examples which worked well for me when I was teaching statistics.

  • I like to begin the class with the martingale, because somehow everybody finds a winning strategy at roulette interesting, and it is fairly easy to grasp. Then later you can have people try it out for themselves, if you are doing computer labs and can find an online roulette simulator. [Warning: I once had a lab of students do this, and one of them ended up with a $60,000 profit. After that, it was not easy to convince them that the martingale is bad.]
  • A good way to illustrate faulty reasoning about independence is Munchhausen's Syndrome by Proxy. Allegedly several people went to prison because the doctor who invented this syndrome claimed in court that the deaths of children within the same family were indpendent events.
  • Everybody finds bad graphics like this one entertaining, and students often enjoy collecting them for themselves and bringing them to class.
  • When talking about expected value, the St. Petersburg paradox is a good one. Most people can understand it fairly quickly and it shows that the definition of expected value is tricky.
  • When teaching the central limit theorem, it's useful to have a wacky bimodal distribution to hand. A good one is the distirbution of the last two digits of the years on the one-cent coins which the students happen to have in their pockets. I got this one from a professor at Oberlin College.
  • Identifying a fake series of coin flips is a good one because the students can try it out on their friends.
  • The British magician Derren Brown has quite a few videos which relate to probability and statistics and are also entertaining. I used to show clips of these in class sometimes.
  • Finally, and most importantly, use data sets from the students' fields whenever you can. It doesn't matter exactly what, but it's really important to show them data of the type that they might plausibly collect in the future. Most students don't choose to take a statistics course. Showing students how it applies to them can make a huge difference to their enjoyment. There are statistics papers on virtually everything, even poetry. Or you are teaching life tables; instead of using boring data, how about making one for tyrannosaurs like in these notes?
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  • $\begingroup$ Although some of these concepts were a bit beyond the level of the class I was teaching, I really like the creativity and originality that some of these suggestions have! $\endgroup$ – bdeonovic Nov 26 '14 at 19:36
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This site has a fantastic introductory biological statistics textbook written by a professor and offered online for free: http://udel.edu/~mcdonald/statintro.html It also has a link to a course that the professor teaches on biological data analysis with lectures and topics. It would probably be good form to send him an email asking if you can look over his lectures to help structure your class, but as a guy who wrote a whole textbook and offers it online for free, I would imagine he's pretty open to the free sharing of his work for educational purposes.

Good luck.

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  • $\begingroup$ Great link. I was unaware of this textbook. $\endgroup$ – doug.numbers Aug 13 '13 at 20:29
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You might be interested in the book 'Teaching Statistics: A Bag of Tricks' by Andrew Gelman, which looks specifically at statistics pedagogy.

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