Posts filed under General (3156)

July 3, 2014

Super 15 Predictions for Round 18

Team Ratings for Round 18

The basic method is described on my Department home page. I have made some changes to the methodology this year, including shrinking the ratings between seasons.

Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Crusaders 8.02 8.80 -0.80
Waratahs 7.48 1.67 5.80
Sharks 5.65 4.57 1.10
Hurricanes 3.40 -1.44 4.80
Bulls 2.62 4.87 -2.30
Brumbies 2.13 4.12 -2.00
Stormers 1.98 4.38 -2.40
Blues 1.76 -1.92 3.70
Chiefs 1.13 4.38 -3.20
Highlanders -1.37 -4.48 3.10
Reds -3.16 0.58 -3.70
Force -4.40 -5.37 1.00
Cheetahs -4.52 0.12 -4.60
Lions -6.02 -6.93 0.90
Rebels -7.70 -6.36 -1.30

 

Performance So Far

So far there have been 106 matches played, 67 of which were correctly predicted, a success rate of 63.2%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Highlanders vs. Chiefs Jun 27 29 – 25 -0.60 FALSE
2 Rebels vs. Reds Jun 27 20 – 36 -0.10 TRUE
3 Hurricanes vs. Crusaders Jun 28 16 – 9 -3.40 FALSE
4 Waratahs vs. Brumbies Jun 28 39 – 8 4.80 TRUE
5 Force vs. Blues Jun 28 14 – 40 0.90 FALSE

 

Predictions for Round 18

Here are the predictions for Round 18. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Chiefs vs. Hurricanes Jul 04 Chiefs 0.20
2 Lions vs. Rebels Jul 04 Lions 5.70
3 Crusaders vs. Blues Jul 05 Crusaders 8.80
4 Force vs. Reds Jul 05 Force 1.30
5 Stormers vs. Bulls Jul 05 Stormers 1.90
6 Cheetahs vs. Sharks Jul 05 Sharks -7.70
7 Waratahs vs. Highlanders Jul 06 Waratahs 12.90

 

July 1, 2014

Graph of the week

From Deadspin. No further comment needed.

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June 30, 2014

Briefly

June 26, 2014

Want to learn data analysis? No stats experience required

4 Chris Wild, UoAInterested in learning to do data analysis but don’t know where to start? Try out the Department of Statistics’ new MOOC (massive online open course) called From Data to Insight: An Introduction to Data Analysis. It’s free – yep, it won’t cost you a bean – starts on October 6, takes just three hours a week, and will be led by our resident world-renowned statistics educator Prof Chris Wild (right).

The blurb says, in part:

“The course focuses on data exploration and discovery, showing you what to look for in statistical data, however large it may be. We’ll also teach you some of the limitations of data and what you can do to avoid being misled. We use data visualisations designed to teach you these skills quickly, and introduce you to the basic concepts you need to start understanding our world through data.

“This course assumes very little experience with statistical ideas and concepts. You will need to be comfortable thinking in terms of percentages, have basic Microsoft Excel skills, and a Windows or Macintosh computer to download and install our iNZight software.”

And that’s all you need. Spread the word.

 

 

 

 

 

 

Roundup return

The Séralini et al paper on Roundup and Roundup-resistant GM corn is back. The NZ Science Media Centre has comments.  As does Retraction Watch

June 25, 2014

NRL Predictions for Round 16

Team Ratings for Round 16

The basic method is described on my Department home page. I have made some changes to the methodology this year, including shrinking the ratings between seasons.

Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Roosters 9.74 12.35 -2.60
Rabbitohs 7.89 5.82 2.10
Sea Eagles 6.70 9.10 -2.40
Broncos 4.31 -4.69 9.00
Cowboys 3.41 6.01 -2.60
Warriors 2.59 -0.72 3.30
Panthers 2.25 -2.48 4.70
Storm 1.81 7.64 -5.80
Bulldogs 1.71 2.46 -0.80
Knights -1.95 5.23 -7.20
Wests Tigers -4.77 -11.26 6.50
Titans -5.41 1.45 -6.90
Eels -5.78 -18.45 12.70
Dragons -6.09 -7.57 1.50
Raiders -7.68 -8.99 1.30
Sharks -10.52 2.32 -12.80

 

Performance So Far

So far there have been 110 matches played, 63 of which were correctly predicted, a success rate of 57.3%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Raiders vs. Bulldogs Jun 20 14 – 22 -4.10 TRUE
2 Warriors vs. Broncos Jun 21 19 – 10 1.30 TRUE
3 Sharks vs. Sea Eagles Jun 21 0 – 26 -9.80 TRUE
4 Storm vs. Eels Jun 22 46 – 20 9.00 TRUE
5 Titans vs. Dragons Jun 22 18 – 19 6.70 FALSE
6 Knights vs. Cowboys Jun 23 36 – 28 -2.90 FALSE

 

Predictions for Round 16

Here are the predictions for Round 16. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Sea Eagles vs. Roosters Jun 27 Sea Eagles 1.50
2 Broncos vs. Sharks Jun 27 Broncos 19.30
3 Wests Tigers vs. Raiders Jun 28 Wests Tigers 7.40
4 Cowboys vs. Rabbitohs Jun 28 Cowboys 0.00
5 Warriors vs. Panthers Jun 29 Warriors 4.80
6 Eels vs. Knights Jun 29 Eels 0.70
7 Dragons vs. Storm Jun 30 Storm -3.40

 

Super 15 Predictions for Round 17

Team Ratings for Round 17

The basic method is described on my Department home page. I have made some changes to the methodology this year, including shrinking the ratings between seasons.

Here are the team ratings prior to this week’s games, along with the ratings at the start of the season.

Current Rating Rating at Season Start Difference
Crusaders 8.68 8.80 -0.10
Waratahs 5.97 1.67 4.30
Sharks 5.65 4.57 1.10
Brumbies 3.64 4.12 -0.50
Hurricanes 2.74 -1.44 4.20
Bulls 2.62 4.87 -2.30
Stormers 1.98 4.38 -2.40
Chiefs 1.44 4.38 -2.90
Blues 0.21 -1.92 2.10
Highlanders -1.69 -4.48 2.80
Force -2.85 -5.37 2.50
Reds -4.13 0.58 -4.70
Cheetahs -4.52 0.12 -4.60
Lions -6.02 -6.93 0.90
Rebels -6.73 -6.36 -0.40

 

Performance So Far

So far there have been 101 matches played, 65 of which were correctly predicted, a success rate of 64.4%.

Here are the predictions for last week’s games.

Game Date Score Prediction Correct
1 Crusaders vs. Force May 30 30 – 7 14.40 TRUE
2 Reds vs. Highlanders May 30 38 – 31 0.70 TRUE
3 Chiefs vs. Waratahs May 31 17 – 33 1.60 FALSE
4 Blues vs. Hurricanes May 31 37 – 24 -1.80 FALSE
5 Brumbies vs. Rebels May 31 37 – 10 10.90 TRUE
6 Lions vs. Bulls May 31 32 – 21 -8.50 FALSE
7 Sharks vs. Stormers May 31 19 – 21 7.40 FALSE

 

Predictions for Round 17

Here are the predictions for Round 17. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.

Game Date Winner Prediction
1 Highlanders vs. Chiefs Jun 27 Chiefs -0.60
2 Rebels vs. Reds Jun 27 Reds -0.10
3 Hurricanes vs. Crusaders Jun 28 Crusaders -3.40
4 Waratahs vs. Brumbies Jun 28 Waratahs 4.80
5 Force vs. Blues Jun 28 Force 0.90

 

Something to listen to

Two people we have linked to a lot, Felix Salmon and Cathy O’Neill, now have a podcast on money and finance, at Slate

June 23, 2014

Possibly underreported

From Stuff, the headline “Cheating on the rise at Massey.” The basis for the story is that there were 56 incidents from 56 separate students reported in 2012, and 72 incidents from 51 separate students reported last year.

We aren’t told if that’s out of the 35000 total students, the 18000 on-campus students, or the 9000 at the Manawatu campus. Even with the smallest denominator, the cheating rate is only about half a percent. Taking this at face value requires a touching faith in the honest of Massey students, since the rate is a couple of orders of magnitude lower than self-report surveys often find for ever having plagiarised in college, and five times lower than a careful experiment found for a single assignment in US colleges (PDF)

Since reported incidents of cheating are a small minority of actual incidents, it’s hard to say anything sensible about trends from two years at a single university, especially as the story says Massey is taking new steps to combat cheating. There’s no way to disentangle changes in reporting from changes in cheating.

Briefly

  • From The Functional Art, ethics in infographics
  • From Scott Aaronson, is it possible to define morality or trust the way Google defines reliability
  • “Ethics in Graphic Design” is a forum for the exploration of ethical issues in graphic design. It is intended to be used as a resource and to create an open dialogue among graphic designers about these critical issues.