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Flashcards · 7357 · Topic 13
L: Data presentation and interpretation flashcards
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Topic 13: L: Data presentation and interpretation
- Frequency density
- Frequency ÷ class width. The height of a histogram bar.
- Relative frequency
- Frequency ÷ total frequency. Estimates a probability.
- Interquartile range (IQR)
- Q₃ − Q₁. The spread of the middle half of the data.
- Regression line y = a + bx: what does b mean?
- The estimated change in y when x increases by 1, in context, with units.
- Regression line y = a + bx: what does a mean?
- The estimated y when x = 0. Often meaningless if x = 0 is far outside the data.
- Cleaning data: missing values
- Leave out, say so, reduce n. Never record them as 0.
- Cleaning data: outliers
- Investigate. Remove only if they are errors or not from the population.
- Two rules for identifying outliers
- Below Q₁ − 1.5 × IQR or above Q₃ + 1.5 × IQR. Outside x̄ ± 2σ (or x̄ ± 3σ if the question says so).
- Mean and standard deviation of raw data
- x̄ = Σx/n σ = √(Σx²/n − x̄²)
- Cumulative frequency graph: where are points plotted, and where are the median and quartiles read?
- Plot at upper class boundaries. Read the median at n/2 and the quartiles at n/4 and 3n/4.
- Interpolation vs extrapolation with a regression line
- Interpolation predicts inside the range of the observed x-values (more reliable). Extrapolation predicts outside it (unreliable).