The null hypothesis (Ho) in a hypothesis test usually states that: O the probability of error will be 0% when the null hypothesis is accepted. O the probability of error will be 100% when the null hypothesis is rejected. O the difference between the sample statistic and its claimed population parameter is due to chance variation in sampling. O the difference between the sample statistic and its claimed population parameter is due to the type of sampling technique utilized.
The null hypothesis (Ho) in a hypothesis test usually states that: O the probability of error will be 0% when the null hypothesis is accepted. O the probability of error will be 100% when the null hypothesis is rejected. O the difference between the sample statistic and its claimed population parameter is due to chance variation in sampling. O the difference between the sample statistic and its claimed population parameter is due to the type of sampling technique utilized.
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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![The null hypothesis (Ho) in a hypothesis test usually states that:
O the probability of error will be 0% when the null hypothesis is accepted.
O the probability of error will be 100% when the null hypothesis is rejected.
the difference between the sample statistic and its claimed population parameter is due to chance variation
in sampling.
the difference between the sample statistic and its claimed population parameter is due to the type of
sampling technique utilized.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F55c92949-c27e-4e14-b8b6-15dea814b3be%2F5597a6eb-938a-40dc-bf53-c7e407a07a73%2F4b83arn_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The null hypothesis (Ho) in a hypothesis test usually states that:
O the probability of error will be 0% when the null hypothesis is accepted.
O the probability of error will be 100% when the null hypothesis is rejected.
the difference between the sample statistic and its claimed population parameter is due to chance variation
in sampling.
the difference between the sample statistic and its claimed population parameter is due to the type of
sampling technique utilized.
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