openfreebooks-bookgenerator/content/math/statistical-literacy/core.html

<div class="book-prose">
  <p>
    Statistical literacy is the ability to read claims critically, question data quality, and avoid
    misleading conclusions.
  </p>

  <h2 id="good-questions" class="book-prose__heading">Questions to ask about a claim</h2>
  <ul>
    <li>Who collected the data and why?</li>
    <li>How large and representative is the sample?</li>
    <li>How was the data measured?</li>
    <li>Are conclusions consistent with evidence?</li>
  </ul>

  <h2 id="sampling-bias" class="book-prose__heading">Sampling and bias</h2>
  <p>
    Biased samples produce unreliable conclusions. Prefer random, sufficiently large, and
    representative samples.
  </p>

  <h2 id="correlation-causation" class="book-prose__heading">Correlation vs causation</h2>
  <p>
    Correlation means variables move together. It does <strong>not</strong> prove one causes the other.
    Confounders may explain both.
  </p>

  <h2 id="misleading-charts" class="book-prose__heading">Misleading charts</h2>
  <ul>
    <li>Truncated axes exaggerating differences.</li>
    <li>Inconsistent scales.</li>
    <li>Cherry-picked time ranges.</li>
    <li>3D chart distortion.</li>
  </ul>

  <h2 id="risk-language" class="book-prose__heading">Interpreting risk language</h2>
  <p>
    Distinguish <strong>absolute change</strong> from <strong>relative change</strong>.
    “Risk doubled” may still represent a very small absolute increase.
  </p>

  <h2 id="exam-strategy" class="book-prose__heading">Exam strategy</h2>
  <ul>
    <li>Quote numerical evidence when critiquing claims.</li>
    <li>Mention possible bias/confounding clearly.</li>
    <li>Use “suggests” unless causation is justified by design.</li>
    <li>Comment on uncertainty and data limitations.</li>
  </ul>
</div>