Sample So Ample Unisex T-shirt

AVAILABLE ONLY AT QI CURIOSITIES

It takes a special kinda someone to wear this immature yet analytically sophisticated shirt. Is that you? Or maybe you know that special person?

A great gift for the data scientist, analyst, statistician, or quality improvement professional in your life.

Your analytical pals are going to LOL at this cartoon. It ain't subtle, but it has a double rhyme and is undoubtedly funny.

Not many of our designs look this good on orange and green, but girlfriend's slacks are doin' it for these colors.

#IYKYK 

If you’re not a statistician, allow us to explain the joke.

You see, in high school we learned that size matters. It’s true in statistics as in other corners of life (ahem). Larger sample sizes used in inferential statistics tend to produce smaller p-values if the statistical finding is significant. But we shouldn’t fixate on the size of our p. We should turn our attention to the magnitude of the effect. That is, the size of your p should not be used as a measure of validity (of a result) or of strength (of an association).

Typically, statistical significance has been achieved when your p-value is less than 0.05. For many, this definition is good enough. And what's p-value again? The probability of the observed result happening by chance alone. If p = 0.0123, there's a 1.23% probability you got the observed result by chance and a 98.77% probability you found or did something interesting.

Your p-value Does Not Imply Magnitude

It’s a common misunderstanding in regards to p-value. The misconception is that if you have a very low p-value, then the significant difference is really REALLY significant. Not so. For example: You calculate a chi-squared​ to test for an association between two categorical variables and get a p-value of 0.04. I calculate a chi-squared test and get a 0.0004. My smaller p-value does NOT imply a stronger association. All we can conclude is that my observed association has a much lower probability of being a mirage (occurring by chance). Another statistic, the contingency coefficient, estimates the strength of association.

Nonetheless, scientists and statisticians seem to prefer a small p, particularly below 0.05. Your p-value = 0.0499? You're golden. Your p-value = 0.0501? You got nothing. No publication for you. But 0.05 is NOT an immutable threshold carved into the laws of science.

This t-shirt is soft and lightweight with the right amount of stretch. It's comfortable and flattering regardless of the size of your p. 

LIMITED TIME ONLY!

Offered exclusively to QI Curiosities customers.

We know y'all aren't fans of batches, but here at Quality Improvement Curiosities, buying in small batches pays! Get an escalating discount when you buy multiple shirts in any combination, not just this gem. Buy 3-4 and get 15% off. Buy 5 and get 20% off. Buy 6+ and get 25% off.

• 100% combed and ring-spun cotton (Heather colors contain polyester)
• Fabric weight: 4.2 oz./yd.² (142 g/m²)
• Pre-shrunk fabric
• Side-seamed construction
• Shoulder-to-shoulder taping
• Blank product sourced from Nicaragua, Mexico, Honduras, or the US

This product is made especially for you as soon as you place an order, which is why it takes us a bit longer to deliver it to you. Making products on demand instead of in bulk helps reduce overproduction, so thank you for making thoughtful purchasing decisions!

Size guide