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Aug 22, 2023 at 6:25 comment added Ankita Thanks for correcting @Ute .I actually have heard a lot of people using it even in Professional fields so was not sure if is correct.Will definitely keep in mind going forward!
S Aug 19, 2023 at 6:50 history suggested Aaron Hall CC BY-SA 4.0
remove thanks, fix whitespace
Aug 19, 2023 at 5:30 review Suggested edits
S Aug 19, 2023 at 6:50
Aug 18, 2023 at 14:40 history became hot network question
Aug 18, 2023 at 11:39 answer added Christian Hennig timeline score: 4
Aug 18, 2023 at 10:35 answer added Peter Flom timeline score: 9
Aug 18, 2023 at 7:22 answer added Ben timeline score: 15
Aug 18, 2023 at 7:10 comment added Ute Welcome to cv, Ankita! We would not call a confidence interval "significant" - did you read this somewhere? The 95% or 80% or whatever are "confidence levels".
Aug 18, 2023 at 7:10 comment added Henry You should choose your level of significance $\alpha$ before doing the test. If $\alpha$ is smaller then it is less likely to get a significant result from the test (especially if the null hypothesis is correct - desirable) and the associated $1-\alpha$ confidence interval is wider making it more likely the confidence interval will cover the true value. The power of the test to reject the null hypothesis when a given alternative hypothesis is correct will also get smaller, though is also affected by other factors such as design of the test and the sample size.
S Aug 18, 2023 at 6:40 review First questions
Aug 18, 2023 at 7:20
S Aug 18, 2023 at 6:40 history asked Ankita CC BY-SA 4.0