Exploring One-Variable Data unit test
A test on this unit alone, marked as a percentage and a letter grade — for the test your class is actually sitting, rather than for May. Answer everything, then submit once: seeing the answer to question 3 before attempting question 4 makes the final percentage meaningless.
Mean vs median resistance
Skewness direction
Standardizing and comparing
Categorical vs quantitative variables
Choosing a graph type
Normal probability calculations
Percentile
Normal distribution and the empirical rule
Why context is scored
Cumulative relative frequency graph
Comparing distributions
Describing a distribution
Short answer 1. Define or explain: 1.5 × IQR outlier rule
3 ptsShort answer 2. Define or explain: Interquartile range
3 ptsShort answer 3. Define or explain: Boxplot limitations
3 ptsShort answer 4. Define or explain: Effect of transformations
3 ptsFree response
5 ptsThis course has no free-response prompt tagged to this unit, so one from elsewhere in the course is used. It is still worth writing — the skill transfers.
Eight students' study hours (x) and exam scores (y) give ŷ = 52 + 6.5x, with r = 0.87 and s = 4.2.
Interpret the slope in context.
Interpret r² in context.
A student who studied 5 hours scored 88 — find and interpret the residual.
Explain what s = 4.2 measures.