What fundamental role do Confidence Intervals (CIs) serve beyond summarizing findings with a point estimate?
Answer
They provide a range of plausible values for the true population parameter.
Confidence intervals surround the point estimate, indicating a range of values likely to contain the true population parameter that the researcher is trying to measure.
Related Questions
What fundamental role do Confidence Intervals (CIs) serve beyond summarizing findings with a point estimate?What is the most frequently set level of confidence for estimation procedures?What does stating 95% confidence primarily assert about the estimation procedure itself?Which three main elements are required for the construction of a confidence interval?Assuming constant sample size, how does increasing the desired confidence level affect the Margin of Error (MOE)?How does a larger sample size generally impact the Standard Error and the resulting interval?Which statement reflects a common, technically inaccurate interpretation of a single realized 95% CI?If the 95% CI for the difference in conversion rates between two designs spans zero (e.g., -0.5% to +1.5%), what is the conclusion regarding the difference?If the 95% CI for the difference in recovery times is (2.1 days to 4.5 days), what is the appropriate decision regarding a null hypothesis of zero difference?Why is it mathematically impossible to construct a confidence interval that guarantees 100% coverage of the true population parameter?