Consumers often encounter epidemiological data in news reports, public health announcements, and scientific articles. Key points to consider when interpreting this data include:
Sample Size: Larger sample sizes generally provide more reliable results. Statistical Significance: Indicates whether the results are likely due to chance. Confounding Factors: Variables that can affect the outcome of the study and need to be controlled. Bias: Systematic errors that can affect the validity of the study results.
