34. If a hypothesis test shows a p-value of 0.28, but we see a practical difference, what could be reasons for failing to reject the null when there may be a difference? A) You should not fail to reject B) Sample size too large C) Human error in data collection
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28 means. This is greater than typical significance levels (like 0.05 or 0.01), which means we fail to reject the null hypothesis. Show more…
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