Prediction interval, which brackets?

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SUMMARY

The discussion centers on the appropriate use of brackets for defining a prediction interval in statistics, specifically with bounds of 20 and 30. The consensus is that for continuous distributions, the choice between open and closed brackets does not affect the probability calculations, as the probability of a variable taking on a single value is zero. The user ultimately decides to use closed brackets based on guidance from the APA Style website.

PREREQUISITES
  • Understanding of prediction intervals in statistics
  • Familiarity with continuous versus discrete distributions
  • Knowledge of probability notation and its implications
  • Basic understanding of statistical hypothesis testing
NEXT STEPS
  • Research the differences between continuous and discrete probability distributions
  • Learn about the implications of using open versus closed intervals in statistical analysis
  • Explore statistical hypothesis testing and the role of null hypotheses
  • Review APA Style guidelines for statistical reporting
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Students in statistics courses, educators teaching statistical concepts, and researchers needing clarity on interval notation in statistical analysis.

likearollings
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Prediction interval, which brackets!?

Hi, this is a quick question for a piece of statistics coursework I am doing.

I have made a prediction interval with an upper bound of let's say 30 and lower of 20.

I just don't know which brackets to use open or close e.g.

(20,30)

[20,30]

(20,30]

[20,30)

I know its a bit of a stupid question :redface: and is maybe not worthy to be in this forum but I am pretty pedantic when it comes to coursework

Ok any help is appreciated.
 
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likearollings said:
Hi, this is a quick question for a piece of statistics coursework I am doing.

I have made a prediction interval with an upper bound of let's say 30 and lower of 20.

I just don't know which brackets to use open or close e.g.

(20,30)

[20,30]

(20,30]

[20,30)

I know its a bit of a stupid question :redface: and is maybe not worthy to be in this forum but I am pretty pedantic when it comes to coursework

Ok any help is appreciated.

If we're talking about a continuous distribution as opposed to a discrete distribution, I don't think it makes any difference. Pr(a < X < b) = Pr(a <= X < b) = Pr(a < X <= b) = Pr(a <= X <= b). IOW, the probability that a variable is a single value is zero, so including an endpoint of an interval or omitting it makes no difference.

The only thing I can think of where including/omitting an interval endpoint makes a difference is when your null hypothesis includes the endpoint.

Hope that helps.
 

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