Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 3: Difference between revisions
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: '''Q2.''' Exercise 3.6 which is basically a continuation of 3.4 | : '''Q2.''' Exercise 3.6 which is basically a continuation of 3.4 | ||
: '''Q3.''' Exercise 3.18 on evaluating normal approximation | : '''Q3.''' Exercise 3.18 on evaluating normal approximation | ||
: '''Q4.''' Exercise 3.32 on arachnophobia (spiders are frequent concern in statistical programming) | : '''Q4.''' Exercise 3.32 on arachnophobia (spiders are frequent concern in statistical programming) | ||
=== Empirical Paper === | === Empirical Paper === | ||
There will be no empirical paper this week. Understanding probability distributions is fundamental to statistics but few people really end there so it's hard to find a paper that is just about this. | There will be no empirical paper this week. Understanding probability distributions is fundamental to statistics but few people really end there so it's hard to find a paper that is just about this. | ||
Revision as of 20:48, 12 January 2017
This is general advice going forward but it makes sense to include it here: My advice is to start working through the programming challenges first. The programming challenges will only include material that we covered in the readings for the previous week.
If you're having trouble loading up your dataset (PC2) find me in the next day or so as you will only be able to do the other challenges once you've done that one.
Programming Challenges
Statistical Questions
Exercises from OpenIntro §2
- Q0. Any questions or clarifications from the OpenIntro text or lecture notes?
- Q1. Exercise 3.4 on triathlon times
- Q2. Exercise 3.6 which is basically a continuation of 3.4
- Q3. Exercise 3.18 on evaluating normal approximation
- Q4. Exercise 3.32 on arachnophobia (spiders are frequent concern in statistical programming)
Empirical Paper
There will be no empirical paper this week. Understanding probability distributions is fundamental to statistics but few people really end there so it's hard to find a paper that is just about this.
