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Vocabulary flashcards covering key terms from Chapter 2 on organizing and summarizing data.
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Qualitative (categorical) variable
A variable whose observations belong to categories or labels rather than numeric values.
Frequency distribution
A table listing each category and the count (frequency) of observations in that category.
Relative frequency distribution
A table listing each category with its relative frequency, i.e., the proportion of observations in that category.
Relative frequency
The proportion of observations in a given category, calculated as its frequency divided by the total number of observations.
Bar graph
A graph with a bar for each category; bar height represents either frequency or relative frequency.
Pareto chart
A bar graph with categories ordered from tallest to shortest by frequency or relative frequency.
Pie chart
A circle divided into sectors where each sector’s area is proportional to the category’s relative frequency.
Dot plot
A plot that places a dot above each value on a number line, showing every individual observation.
Stem-and-leaf plot
A display where each observation is split into a stem (all digits except the final one) and a leaf (the final digit), preserving individual values.
Split stems
A stem-and-leaf variation that splits each stem into two groups (0–4 and 5–9) to reduce clutter.
Histogram
A graph of adjacent bars showing frequencies or relative frequencies for a quantitative variable across equal-width intervals.
Class width
The width of each interval (class) in a histogram; typically computed from (largest − smallest)/number of classes.
Class interval
The endpoints that define each bar (class) in a histogram.
Unimodal
A distribution with a single peak.
Bimodal
A distribution with two distinct peaks.
Uniform
A distribution where frequencies across classes are relatively the same.
Bell-shaped
A distribution that is approximately symmetric and unimodal.
Skewness
Asymmetry in a distribution; left-skewed has a longer left tail, right-skewed has a longer right tail.
Outlier
An observation that lies far from the rest of the data and does not fit the main pattern.
Key (stem-and-leaf)
A short explanation showing how to decode stems and leaves to obtain the actual values.
Quantitative variable
A variable whose observations are numerical values representing magnitudes.
Continuous variable
A quantitative variable that can take any value within an interval (including decimals).
Ordinal variable
A qualitative variable with a natural order among categories.
Nominal variable
A qualitative variable with no natural order among categories.