Aug
10
Filed Under (952) by admin on 10-08-2008

Split testing is also known as A/B testing. It is the process of taking one page (your control or page A) and then creating another page (page B) with one single change and then driving equal traffic to both pages to see which page gets a better result.

Testing is vital to the success of your website; it is a powerful strategy for increasing the effectiveness of your site pages.

Split testing is also known as A/B testing. It is the process of taking one page (your control or page A) and then creating another page (page B) with one single change and then driving equal traffic to both pages to see which page gets a better result.



Aug
10
Filed Under (Ecommerce) by admin on 10-08-2008

Split testing is also known as A/B testing. It is the process of taking one page (your control or page A) and then creating another page (page B) with one single change and then driving equal traffic to both pages to see which page gets a better result.

Testing is vital to the success of your website; it is a powerful strategy for increasing the effectiveness of your site pages.

Split testing is also known as A/B testing. It is the process of taking one page (your control or page A) and then creating another page (page B) with one single change and then driving equal traffic to both pages to see which page gets a better result.



May
20
Filed Under (Business) by admin on 20-05-2008

Need to make Beta Probability calculations? Microsoft Excel supplies two useful statistical functions for making just these sorts of calculations, BETADIST and BETAINV.

Microsoft Excel supplies two useful statistical functions for making beta probability calculations, BETADIST and BETAINV. Perhaps surprisingly, neither function is difficult to use as long as understand the inputs that supply data to the function.

Understanding the beta probability density function, BETADIST

The BETADIST function returns the cumulative beta probability density function.

Statisticians often use the cumulative beta probability density function to study variation across samples, such as when comparing two groups of people performing the same task to see whether they have the same success rate.