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Summary BUSN625 Week 7 Discussion 5 23 2021.docx BUSN625 Week 7 Discussion American Public University COURSE BUSN625: Applied Decision Making Some argue that the confidence interval achieves more than a hypothesis test. What do you think? Hypothesis $7.49
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Summary BUSN625 Week 7 Discussion 5 23 2021.docx BUSN625 Week 7 Discussion American Public University COURSE BUSN625: Applied Decision Making Some argue that the confidence interval achieves more than a hypothesis test. What do you think? Hypothesis
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BUSN625 Week 7 Discussion 5 23 BUSN625 Week 7 Discussion American Public University COURSE BUSN625: Applied Decision Making Some argue that the confidence interval achieves more than a hypothesis test. What do you think? Hypothesis testing is concerned with a single statistical signif...
busn625 week 7 discussion 5 23 2021docx busn625 week 7 discussion american public university course busn625 applied decision making some argue that the confidence interval achieves more t
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BUSN625
Week 7 Discussion
American Public University
COURSE BUSN625: Applied Decision Making
Some argue that the confidence interval achieves more than a hypothesis test. What do you
think?
Hypothesis testing is concerned with a single statistical significance inference versus
no statistical significance. Educated guess testing is useful when you need to make a strict
comparison with a pre-specified educated guess and significance standard.
Trust periods of time (or space) of time (or space) have a collection of clear and
sensible values for your population. When describing the importance of effect (e.g., mean
difference, odds ratio, etc.) or a single sample, use confidence periods of time (or space).
The confidence interval is better since it creates an interval or set of values for the
population parameter based on the sample observations. Confidence intervals used to calculate a
population parameter with data from a sample, while hypothesis tests used to assess a
hypothesis with data from a sample.
Confidence intervals, in my opinion, achieve more than a hypothesis test because they
offer a range of possibilities for the population's values as well as the uncertainty associated
with a population parameter. Hypothesis testing, on the other hand, is more concerned with a
single statistically significant finding than with no statistical significance. It decides whether the
data observed by the hypothesis is accurate or true. In hypothesis testing, the null hypothesis
and alternative hypothesis stated first. The null hypothesis is a population parameter hypothesis,
while the alternative hypothesis establishes the parameter values that contradict the null
hypothesis.
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