Hi there,
Currently I am investigating if a digital display in a store window will lead to significantly more people entering the store. Of course it also matters how many people walk by, because there is chance that more people enter a store when there are also more people walking by. So I got the the data of how many people walk by and how many enter the store per hour. I would like to measure if the average proportion of people entering a store (visitors/passerby) differs for condition 1 (no screen) and condition 2 (a screen).
Condition 1 (no screen) shows that an average of 0.011804049 (this number is calculated: for every opening hour the visitors/passerby to get ratio. And then add up all these ratios and divide by total of number op hours) of people is entering. So 1.18 people out of 100 walk in per hour. Data is from a month
Condition 2 (with screen) shows that an average of 0.017454835 (same calculation) of people is entering. So 1,745 people out of 100 walk in per hour. Data is from a month
Now I wanted to compare these average proportions (ie those 0.011 and 0.017) whether it is statistically significant. Can I just use an independent ttest for that or not?
If I do the result is p<0.001.
Thank you
Btw. data looks normally distributed
Currently I am investigating if a digital display in a store window will lead to significantly more people entering the store. Of course it also matters how many people walk by, because there is chance that more people enter a store when there are also more people walking by. So I got the the data of how many people walk by and how many enter the store per hour. I would like to measure if the average proportion of people entering a store (visitors/passerby) differs for condition 1 (no screen) and condition 2 (a screen).
Condition 1 (no screen) shows that an average of 0.011804049 (this number is calculated: for every opening hour the visitors/passerby to get ratio. And then add up all these ratios and divide by total of number op hours) of people is entering. So 1.18 people out of 100 walk in per hour. Data is from a month
Condition 2 (with screen) shows that an average of 0.017454835 (same calculation) of people is entering. So 1,745 people out of 100 walk in per hour. Data is from a month
Now I wanted to compare these average proportions (ie those 0.011 and 0.017) whether it is statistically significant. Can I just use an independent ttest for that or not?
If I do the result is p<0.001.
Thank you
Btw. data looks normally distributed
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