It is possible to compare multiple means with a single set of hypotheses (one null and...

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  1. It is possible to compare multiple means with a single set ofhypotheses (one null and one alternatehypothesis).   
  2. In hypothesis testing, the goal is to accept the nullhypothesis.

  1. Point estimates are known for estimating the population valuesperfectly.
  2. In hypothesis testing, the region(s) of rejection is always inthe tail(s).
  3. If the confidence level is changed from 90% to 95%, theconfidence interval values would get closer to each other.

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It is possible to compare multiple means with a single set of hypotheses one null and one alternate hypothesis True Anova test is an example which compare multiple means with a single set of hypotheses In    See Answer
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