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Confidence intervals and p-values are essential statistical tools in data analytics for interpreting results and making informed decisions. A confidence interval provides a range of values within which the true population parameter is likely to fall, helping analysts understand the precision of their estimates. In the middle of mastering these concepts, many professionals pursue a Data Analytics certification to strengthen their statistical foundations. A p-value, on the other hand, indicates the probability of observing the data if the null hypothesis is true. Together, they help determine whether results are statistically significant and meaningful for business insights.
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Posted : 28/11/2025 5:01 am