Forum Discussion
Significance testing
Hi guyscottsouth,
There are many build-in statistical functions in Power BI. It seems this isn't a hard work for Power BI. If you can post more details, maybe I can translate them into DAX formula, which is a functional language used by Power BI.
Please reference these functions: https://msdn.microsoft.com/en-us/library/ee634822.aspx
and this post: significance-testing
Best Regards!
Dale
I have a much larger dataset, but this is a smaller version. I want to look by question at the result score for those answering yes against those answering no, in the full dataset the variances in the two samples are similar, but the sample size is quite variable. I was hopeing to use a 2 tailed T test to test the null hypothesis that the means of the two samples are the same. Ideally i would show the differences between the means and the confidence level.
Assessment number Question number Answer Overall Result 1 1 NO 24.2 1 2 YES 24.2 1 3 YES 24.2 1 4 NO 24.2 1 5 YES 24.2 2 1 YES 68.9 2 2 YES 68.9 2 3 NO 68.9 2 4 YES 68.9 2 5 YES 68.9 3 1 YES 56.1 3 2 NO 56.1 3 3 NO 56.1 3 4 YES 56.1 3 5 NO 56.1 4 1 NO 74.2 4 2 NO 74.2 4 3 NO 74.2 4 4 NO 74.2 4 5 NO 74.2 5 1 NO 66.7 5 2 YES 66.7 5 3 YES 66.7 5 4 YES 66.7 5 5 YES 66.7 6 1 NO 11.6 6 2 NO 11.6 6 3 YES 11.6 6 4 NO 11.6 6 5 YES 11.6 7 1 YES 92.6 7 2 YES 92.6 7 3 YES 92.6 7 4 YES 92.6 7 5 NO 92.6 8 1 NO 48.8 8 2 NO 48.8 8 3 NO 48.8 8 4 YES 48.8 8 5 YES 48.8 9 1 NO 55.8 9 2 NO 55.8 9 3 NO 55.8 9 4 YES 55.8 9 5 YES 55.8 10 1 NO 94.3 10 2 NO 94.3 10 3 YES 94.3 10 4 YES 94.3 10 5 YES 94.3 11 1 YES 24.1 11 2 NO 24.1 11 3 YES 24.1 11 4 NO 24.1 11 5 NO 24.1 12 1 NO 16.0 12 2 YES 16.0 12 3 YES 16.0 12 4 YES 16.0 12 5 NO 16.0 13 1 YES 76.5 13 2 NO 76.5 13 3 NO 76.5 13 4 YES 76.5 13 5 YES 76.5 14 1 NO 32.8 14 2 NO 32.8 14 3 NO 32.8 14 4 YES 32.8 14 5 NO 32.8 15 1 NO 58.3 15 2 NO 58.3 15 3 NO 58.3 15 4 YES 58.3 15 5 NO 58.3 16 1 NO 37.2 16 2 NO 37.2 16 3 NO 37.2 16 4 YES 37.2 16 5 NO 37.2 Apologies for the bump, but i wondered if anyone had any further advice?
Hi guyscottsouth,
I recalled my statistics. I don't know if this could help. Maybe you review it first, then we could go further. Please check this file:https://1drv.ms/u/s!ArTqPk2pu-BkgRFQZ5z_1PDA0QpQ.
Best Regards!
Dale
In your context, what does "overall result" indicate?
The overall result could be anything really, but it's probably most easily demonstrated as:
Q: Did you revise for your exam?
A: Yes
A: No
The result for each group would be the mean average score of the 'Yes' cohort and the mean average score for the 'No' ohort.
In this case, one might expect the the 'Yes' cohort average test score to be significantly different from the 'No' cohort, where as posing the question:
Q: Are you taller than 5'10"?
is somewhat less likely to show a statisticaly significant effect
I hope that helps
