Graphical and Numerical Summaries
Frequency Table - CORRECT ANSWER-Describes the distribution of a variable by
listing its possible values and the count, proportion/percentage for each value.
Variable - CORRECT ANSWER-A characteristic that can be measured or
categorized.
Stem-and-leaf plots - CORRECT ANSWER-Graphs for raw data, useful to describe
the pattern of variability in the data, especially for small data sets.
Histograms - CORRECT ANSWER-Summary graph for a single variable, useful to
understand the pattern of variability in the data, especially for large data sets.
Line graphs: Time plots - CORRECT ANSWER-Used when there is a meaningful
sequence, like time, to emphasize any change over time.
Frequency Table (Quantitative Variable) - CORRECT ANSWER-Describes the
distribution of a quantitative variable by listing its possible values and the count,
proportion/percentage for each value.
Frequency Table (Categorical Variable) - CORRECT ANSWER-Describes the
distribution of a categorical variable by listing its possible values and the count,
proportion/percentage for each value.
Mean - CORRECT ANSWER-The arithmetic average, calculated by adding all
values and dividing by the number of individuals.
Median - CORRECT ANSWER-The midpoint of a distribution, the number such that
half of the observations are smaller, and half are larger.
Outliers - CORRECT ANSWER-Observations that lie outside the overall pattern of a
distribution.
Standard Deviation - CORRECT ANSWER-A measure of the amount of variation or
dispersion of a set of values, roughly describing how far away the 'typical' distance of
observation is from the mean.
Quartiles and Percentiles - CORRECT ANSWER-Quartiles divide the data set into
four equal parts, while percentiles divide the data set into 100 equal parts.
Relative Risk - CORRECT ANSWER-The ratio of two proportions, often used to
describe the association between two variables.
Frequency Table - CORRECT ANSWER-Describes the distribution of a variable by
listing its possible values and the count, proportion/percentage for each value.
Variable - CORRECT ANSWER-A characteristic that can be measured or
categorized.
Stem-and-leaf plots - CORRECT ANSWER-Graphs for raw data, useful to describe
the pattern of variability in the data, especially for small data sets.
Histograms - CORRECT ANSWER-Summary graph for a single variable, useful to
understand the pattern of variability in the data, especially for large data sets.
Line graphs: Time plots - CORRECT ANSWER-Used when there is a meaningful
sequence, like time, to emphasize any change over time.
Frequency Table (Quantitative Variable) - CORRECT ANSWER-Describes the
distribution of a quantitative variable by listing its possible values and the count,
proportion/percentage for each value.
Frequency Table (Categorical Variable) - CORRECT ANSWER-Describes the
distribution of a categorical variable by listing its possible values and the count,
proportion/percentage for each value.
Mean - CORRECT ANSWER-The arithmetic average, calculated by adding all
values and dividing by the number of individuals.
Median - CORRECT ANSWER-The midpoint of a distribution, the number such that
half of the observations are smaller, and half are larger.
Outliers - CORRECT ANSWER-Observations that lie outside the overall pattern of a
distribution.
Standard Deviation - CORRECT ANSWER-A measure of the amount of variation or
dispersion of a set of values, roughly describing how far away the 'typical' distance of
observation is from the mean.
Quartiles and Percentiles - CORRECT ANSWER-Quartiles divide the data set into
four equal parts, while percentiles divide the data set into 100 equal parts.
Relative Risk - CORRECT ANSWER-The ratio of two proportions, often used to
describe the association between two variables.
