Confidence intervals are impacted by the size of the sample.edited.docx

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RUNNING HEAD: Confidence Interval Discussion
Confidence Interval Discussion
Your Name
Walden University
Class
September 22, 2021

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RUNNING HEAD: Confidence Interval Discussion

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RUNNING HEAD: Confidence Interval Discussion
Confidence intervals are impacted by the size of the sample. First, it is important to revisit what a
confidence interval means in statistics. Higher sample size or less variability leads to a tighter
confidence interval with a smaller error margin (Frankfort-Nachmias, et al., 2020) . Lower
sample size or greater variability results in a broader trust interval with a bigger error margin.
The confidence level also influences the breadth of the interval. To have a higher confidence
level (we know that the likelihood that the value is within the parameters) a wider interval of
95% versus 99% is used. Further, in general increasing, the sample size decreases the width of
confidence interval because it decreases error.99% is less specific than a 95% confidence