You need to manually create a canvas at screen resolution and scale it to fit the screen. A default canvas has pixels that are logical pixels, not actual pixels.
I can't tell, since I don't have a Mac, but looking at the code, it implements a note from the Safari documentation for canvas [0]. I assume that if you don't do this, it either is very small or very pixelated.
I would suggest a Bayesian decision-theory test of mean profitability: http://www.gwern.net/Candy%20Japan (Negative, so the decision is to use the old box.)
Those answers are bizarre. Use a t-test or z-test?! That is both less interpretable* and less efficient than doing a test of difference in proportions (based on a chi-squared) or better yet, doing a generalized linear regression with a binomial link which lets you test multiple interventions and include covariates and other things. These are little harder than using a t-test and work much better.
(Of course, even better would be a Bayesian decision analysis which takes into account the full posterior distribution, costs, and benefits, allowing one to decide whether the evidence is enough to justify the more expensive box or whether one should extend the experiment further to collect more data.)
* quick, if conversions are 0.25%, what does a 0.1SD mean difference between arms of an A/B test mean? 'Uh...' Exactly.
To be fair, a couple answers there mentioned the Chi-squared approach, and a z-test could also be appropriate for testing a difference in proportions. I think your Bayesian approach would make the most sense for this kind of stuff, to examine the posterior especially. There's other things that could be done than what you mentioned too to assess a difference. I'm not convinced the parametric assumptions made by the standard tests mentioned (including difference in proportions, whether a z-test or Chi-square test) would hold up well for this kind of data, it would take further examination. I think a z-test or Chi-square test are a decent starting point, and could be fine to use if the assumptions made for those tests are met (to defend some of the Quora answers). The issue is often tests are used without folks either knowing how to check or ignoring the underlying assumptions, but that isn't an issue with the test itself I'd argue.
> I'm not convinced the parametric assumptions made by the standard tests mentioned (including difference in proportions, whether a z-test or Chi-square test) would hold up well for this kind of data, it would take further examination.
Yes, you're right that chi-squared is non-parametric, my mistake. However, even non-parametric tests can have assumptions that should probably be checked into at least for a given data set. It may be robust to the violations the data collected may exhibit, I'm not sure. This article lists the assumptions for chi-squared test:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900058/
A lot of people seem to take issue with the lag of on-board power. OutRunner i a running robot with on board power, that have reached some impressive numbers while running outdoors.
We actually read the full speech in school and watched the youtube video. We got it as a copy from a textbook called "Speeches that changed the world" by Simon Sebag Montefiore.
You can get the ebook from the google play store. From the free sample it seems like they got permission to reproduce copyrigth material from The Estate of Dr Martin Luther King, Jr.
