Comments for Survive Statistics
http://survivestatistics.com
Statistics help, tutorials and a shoulder to cry on...Mon, 24 Apr 2017 20:42:15 +0000hourly1https://wordpress.org/?v=4.9.1Comment on Sample Size and Power Calculations Explained by Taya
http://survivestatistics.com/sample-size-power-calculation/#comment-83
Mon, 24 Apr 2017 20:42:15 +0000http://survivestatistics.com/?p=25#comment-83Thanks Katherine! Just for you I’ve published a post on writing hypotheses today. Please contact me if you need help clarifying anything.
]]>Comment on Sample Size and Power Calculations Explained by Katherine Barnett
http://survivestatistics.com/sample-size-power-calculation/#comment-82
Fri, 14 Apr 2017 11:17:39 +0000http://survivestatistics.com/?p=25#comment-82I’m getting it. Slowly but surely, I’m getting it. Reading your posts after each chapter in my text is like turning on a light bulb! Do more soon! More! More! I love your examples!
]]>Comment on Statistical basics – Mean & Median by Katherine Barnett
http://survivestatistics.com/mean-median/#comment-80
Wed, 12 Apr 2017 11:00:16 +0000http://survivestatistics.com/?p=87#comment-80I love the broom too! (I also love the dinosaur!). Thank you for your super amazing blog. And pretty please do some more soon! Ummmm…..hypothesis testing would be awesome…… Also, I’m going to post this link on the Facebook group page for my course, so expect a few more hits soon!
]]>Comment on Statistical basics – Mean & Median by 真人百家樂
http://survivestatistics.com/mean-median/#comment-23
Sat, 17 Sep 2016 12:25:01 +0000http://survivestatistics.com/?p=87#comment-23Of course, what a fantastic blog and instructive posts, I surely will bookmark your website.Have an awsome day!
]]>Comment on Sample Size and Power Calculations Explained by Biddy
http://survivestatistics.com/sample-size-power-calculation/#comment-13
Sat, 23 Jul 2016 15:10:59 +0000http://survivestatistics.com/?p=25#comment-13Fantastic post and very helpful. I’m just getting started and appreciate the bite sized explanations.
]]>Comment on Statistical basics – Mean & Median by Dr Simon Angus
http://survivestatistics.com/mean-median/#comment-9
Wed, 13 Jul 2016 05:37:18 +0000http://survivestatistics.com/?p=87#comment-9The broom: Very nice analogy, Taya. I may use that (with attribution of course …).
]]>Comment on Statistical Basics – Parameter Estimation by Joel
http://survivestatistics.com/parameter-estimation/#comment-8
Wed, 13 Jul 2016 00:55:18 +0000http://survivestatistics.com/?p=48#comment-8Even these basic steps are helpful for people in more advanced statistics.

Given that the meaning behind statistics can be hard to grasp, it is useful to always revisit the basics to strengthen the foundations of understanding, and your posts help do that with clear and relatable examples.

Thank you!

]]>Comment on Sample Size and Power Calculations Explained by Kees Grashoff
http://survivestatistics.com/sample-size-power-calculation/#comment-4
Tue, 05 Jul 2016 21:26:50 +0000http://survivestatistics.com/?p=25#comment-4Zet ‘m op Taya!
]]>Comment on Sample Size and Power Calculations Explained by Taya
http://survivestatistics.com/sample-size-power-calculation/#comment-3
Tue, 05 Jul 2016 14:28:29 +0000http://survivestatistics.com/?p=25#comment-3Thanks Martijn. It does get a bit tenuous at that point. Without directly analysing the sampling distributions under the null and alternative hypotheses it is not going to be clear how alpha and beta are connected, but I wanted to keep this post reasonably jargon free. Inspecting figures like this one shows what is going on with the probability densities. The dark shaded area is alpha and the light shaded area is beta, it is clear from this figure that the only way to decrease alpha is to move c to the right, which has the effect of increasing beta. Once I have a post on sampling distributions I’ll update this one with some more detail.
]]>Comment on Sample Size and Power Calculations Explained by Martijn
http://survivestatistics.com/sample-size-power-calculation/#comment-2
Tue, 05 Jul 2016 12:59:12 +0000http://survivestatistics.com/?p=25#comment-2Really like the hammer analogy! But I’m having trouble with the analogy where the tradeoff between alpha and beta is concerned, though – the analogy that everything starts to look like a hammer when you’ve been searching long enough seems to refer to a large N (long search time) rather than a large beta (include things that might look like a hammer in dim basement lighting, but aren’t in fact).
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