the 57-61 don't look that far off to me and yet it seemed like the 13 and the 11 looked very close so while this percent of increase was a little bit higher I'm kind of questioning if it's really significant because again it might not have book called practical significance if I looked at the counts I only have 11 and proved in the placebo group and 13 approved in the in the treatment group I might think those counts are kind of close I kinda have not seen a big difference between the treatment group and the placebo so this might fall into the category of maybe we have some statistical significance the percent of increase was a little bit higher but the practically it's not practically significant because the counts are very close this is also why later in the course we'll see that we like there's other measures of significance that are better than percent of increase so for example to to population confidence intervals are our two proportion hypothesis test also p-value those are all measures that take sample size into account so they're a little more accurate so we'll see later on that there's later like say there's there's other ways of judging significance than just the percent of increase but this is something that sometimes people look at so be careful of practical significance if you're dealing with really small sample sizes so if I had a you know a 50 percent increase and I'm dealing with really big sample sizes I'm gonna think it's pretty that's gonna be practically significant and statistically significant but if I if I if I see the sample sizes were only 12 people or something then I might be really careful about making judgments about that might not be practically significant okay so I'm hoping this is helpful for you so this was categorical data analysis part two and missus map to show an intro stats I will see you next time