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How to Interpret P-Values in Hypothesis Testing for Effective Decision-Making
Hypothesis testing helps determine if a claim about a population is valid. The p-value indicates how incompatible the data is with the null hypothesis (Hâ‚€) but does not measure its truth. Decisions should go beyond p-value thresholds, considering confidence intervals and effect sizes for better inference.
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The Ultimate Guide to Identifying and Managing Outliers in Data Analysis
Identifying and managing outliers is key to a successful data analysis. Learn various techniques to identify and handle outliers for better data insights
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