Summary INTRODUCTION TO QUANTITATIVE ANALYSIS: CONFIDENCE INTERVALSEDD P-20 Walden UniversityRSCH-

RSCH-8210D-4 INTRODUCTION TO QUANTITATIVE ANALYSISINTRODUCTION TO QUANTITATIVE ANALYSIS: CONFIDENCE INTERVALSEDD P-20 Walden UniversityRSCH-8210D-4Confidence Intervals Frankfort-Nachmias et al. (2020), discussed that confidence intervals (CIs) are a fundamental tool in statistical analysis, the concept of CIs as ranges of values calculated from sample data that are used to estimate the true value of a population parameter, such as a mean or proportion, with a certain level of confidence. The explore the interpretation of CIs, emphasizing that they provide a range within which the true population parameter is likely to fall, rather than a single point estimate. Understanding CIs allows researchers to quantify the uncertainty associated with their estimates and make more informed decisions based on statistical inference. Kosara (2023) highlights that confidence intervals may be discussed in the context of data analysis and visualization. Kosara may emphasize the importance of visualizing CIs alongside point estimates to provide a more c