Type II Error Rate Calculator: Beta and Power
a p-value of 0.07, so you didn’t reject the null hypothesis. 05, so you didn’t reject the null hypothesis. But then you start to wonder, … Read More
a p-value of 0.07, so you didn’t reject the null hypothesis. 05, so you didn’t reject the null hypothesis. But then you start to wonder, … Read More
Somewhere along the line you’ll run some sort of analysis and get a significant result supporting your hypothesis, everything’s looking perfect with your data. It’s … Read More
Statistical significance isn’t a light switch. Just because your p-value dips below 0.05 doesn’t mean your result is true, nor does it mean that your … Read More
So now you’ve got it, the F statistic. You see this number in your spreadsheet and it’s bold. But what does it mean? That’s when … Read More
A chi-square test calculates how far apart two sets of numbers are from each other. I.e., “observed” versus “expected.” This distance is translated into a … Read More
The value of t-statistic represents a distance, but it’s a distance in units called “standard errors.” It is also point on a curve whose shape … Read More
There’s a new landing page design you launch and see that it boosts conversion rate from five percent to seven percent. Huzzah! Your team cheers … Read More
You perform an A/B test on your landing page and find out that variant B has a higher conversion rate of 1.2 percentage points. Sweet! … Read More
It is a factory floor. There is a clipboard. Bottles roll along on a conveyor belt. Is it what the bottle say? It is fifty … Read More
So, now you have the after scores. And there are the before scores. But what do they mean? Are those two sets of number real … Read More