Hi all, this is probably more a maths/statistics question rather than Excel, however I'm using Excel so I hope I will get the answer here.
I am currently running an A/B Test to determine which web page has the best conversion rate and the statistical significance of that test. My data and formulas are as follows:
Web Page A
Unique Visits = 6000
Conversions = 37
Conversion Rate = 37 / 6000 = 0.62%
Standard Error = SQRT((0.62% x (1-0.62%)/6000)) = 0.0010
Web Page B
Unique Visits = 2000
Conversions = 21
Conversion Rate = 21 / 2000 = 1.05%
Standard Error = SQRT((1.05% x (1-1.05%)/2000)) = 0.0023
Therefore
Z-Score = (0.62%-1.05%)/SQRT(POWER(0.0010,2)+POWER(0.0023,2)) = -1.738
P Value = NORMSDIST(-1.738) = 0.0411
Confidence Level = 1-0.0411 = 0.9589 = 95.89%
I think I am doing everything right up to this point. What I want to do now is reverse the formula, and find out the required conversions, conversion rate and standard error of web page B, when the z-score and individual sample sizes are both known, in other words:
Web Page A
Unique Visits = 6000
Conversions = 37
Conversion Rate = 37 / 6000 = 0.62%
Standard Error = SQRT((0.62% x (1-0.62%)/6000)) = 0.0010
Other 'knowns'
P-Value = 0.05
Z-Score = -1.64
Web Page B
Unique Visits = 2000
Conversions = ?Formula?
Conversion Rate = ?Formula?
Standard Error = ?Formula?
Can anyone help?
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