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Timeline for Chi-Square to P-Value - Basic Stats

Current License: CC BY-SA 4.0

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Sep 28, 2022 at 17:11 comment added Cat So can I think about it like: if the x2observed < 0.25 alpha's X2crit (which is 1.32) then it definitely will be less than 0.05 alpha's x2 crit of 3.84? But how did she get a p-value of 0.25? Is the 1.32 the p-value??
Sep 28, 2022 at 15:18 comment added Roger V. @User1865345 scipy.stats gives a value rather different from $0.25$, so I suppose it is the confidence level after all.
Sep 28, 2022 at 15:12 comment added User1865345 Exactly. Pretty evident by definition of $p$-value. What I am wondering is the rationale behind choosing $0.25.$
Sep 28, 2022 at 15:10 comment added Roger V. @User1865345 p-value is too high, so no conclusions can be made (we can only reject the null hypothesis if $p<\alpha$, but if otherwise, we cannot claim that it is correct.)
Sep 28, 2022 at 15:01 comment added User1865345 Seems legit. Maybe it's like $0.25 > 0.05.$ But this seems to be weird for any standard. Anyway, +1.
Sep 28, 2022 at 14:55 history answered Roger V. CC BY-SA 4.0