Justifying a claim involves providing evidence or reasoning to support or prove its validity. In statistics, it refers to presenting data analysis, statistical tests, or logical arguments to back up an assertion or conclusion.
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Hypothesis Testing: Hypothesis testing involves making claims about populations based on sample data and using statistical methods to determine if there is enough evidence to support those claims.
Statistical Significance: Statistical significance refers to whether an observed difference or relationship between variables is likely to be due to chance or if it represents a true effect.
Confidence Level: The confidence level is the probability that a confidence interval will contain the true population parameter. It indicates how confident we are in our estimate.