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MATH 225N WEEK 6 DISCUSSION, CONFIDENCE INTERVAL 2022 UPDATED

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MATH 225N WEEK 6 DISCUSSION, CONFIDENCE INTERVA

Distribution of this document is illegal Want to earn $103 per month? MATH 225 Week 6 Discussion: Confidence Intervals Read/review the following resources for this activity: • Textbook: Chapter 8 • Lesson • Minimum of 1 scholarly source In your reference for this assignment, be sure to...

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MATH 225 Week 6 Discussion: Confidence Intervals

Read/review the following resources for this activity:

• Textbook: Chapter 8
• Lesson
• Minimum of 1 scholarly source
In your reference for this assignment, be sure to include both your text/class materials
AND your outside reading(s).
Confidence Intervals
In everyday terms, a confidence interval is the range of values around a sample statistic
(such as mean or proportion) within which clinicians can expect to get the same results
if they repeat the study protocol or intervention, including measuring the same
outcomes the same ways. As you ask yourself, "Will I get the same results if I use this
research?", you must address the precision of study findings, which is determined by
the Confidence Interval. If the CI around the sample statistic is narrow, you can be
confident you will get close to the same results if you implement the same research in
your practice.
Consider the following example. Suppose that you did a systematic review of studies on
the effect of tai chi exercise on sleep quality, and you found that tai chi affected sleep
quality in older people. If, according to your study, you found the lower boundary of the
CI to be .49, the study statistic to be 0.87, and the upper boundary to be 1.25, this
would mean that each end limit is 0.38 from the sample statistic, which is a relatively
narrow CI.
(UB + LB)/2 = Statistic [(1.25 + .49)/2 = .87]
Keep in mind that a mean difference of 0 indicates there is no difference; this CI does
not contain 0. Therefore, the sample statistic is statistically significant and unlikely to
occur by chance.
Because this was a systematic review, and tai chi exercise has been established from
the studies you assessed as helping people sleep, based on the sample statistics and
the CI, clinicians could now use your study and confidently include tai chi exercises
among possible recommendations for patients who have difficulty sleeping.
Now you can apply your knowledge of CIs to create your own studies and make wise
decisions about whether to base your patient care on a particular research finding.
Initial Post Instructions
Thinking of the many variables tracked by hospitals and doctors' offices, confidence
intervals could be created for population parameters (such as means or proportions)
that were calculated from many of them. Choose a topic of study that is tracked (or that
you would like to see tracked) from your place of work. Discuss the variable and

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