Failing to reject Ho does not necessarily mean that there is a high probability that Ho is true. It may simply mean that more data is required to reach a strong conclusion True False

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.3: Conditional Probability; Independent Events; Bayes' Theorem
Problem 3E
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Failing to reject Ho does not necessarily mean
that there is a high probability that Ho is true.
It may simply mean that more data is required
to reach a strong conclusion
True
False
Transcribed Image Text:Failing to reject Ho does not necessarily mean that there is a high probability that Ho is true. It may simply mean that more data is required to reach a strong conclusion True False
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