Reading Statistics Items on TEAS, HESI, ASWB
Statistics appears in TEAS math, HESI research, and ASWB research-evaluation items. A few concepts cover most items.
Key concepts to drill
- Mean, median, mode: average; middle; most common.
- Standard deviation: spread; ±1 SD covers ~68%, ±2 SD ~95% in normal distributions.
- Normal vs skewed distributions: normal is symmetric; right-skew has a long right tail (mean > median); left-skew has a long left tail (mean < median).
- p-value: probability of seeing the observed result (or more extreme) if there is no real effect. Convention: p < 0.05 = statistically significant.
- Confidence interval: range of plausible values for an estimate; wider = less certain.
- Odds ratio / relative risk / absolute risk reduction: how much more (or less) likely the outcome is in one group vs another.
Common items
- Given a data table, identify median.
- Given a distribution shape, identify skew direction.
- Given p-value vs alpha, interpret significance.
- Given confidence interval, conclude whether a null effect is plausible (yes if the interval includes the null value).
Pitfalls
- Confusing mean and median in skewed distributions (in income data, median is more representative).
- Treating small p-values as "proven" — they reduce uncertainty but don't prove.
- Confusing statistical significance with clinical or practical importance.
Practice
Drill a stats set; the same handful of concepts appears repeatedly and becomes fast.
Practice with detailed rationales, study plans, and performance feedback.
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