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Cmn 12y midterm Exam Study Guide.
Data - answer✔a collection of information on a group of units
outcome variable - answer✔the variable were interested in as an effect or result, also known as
dependent variable
things that are fixed characteristics are unlikely to be outcomes
predictor variable - answer✔interested in as a cause also known as independent variable
categorical variable - answer✔levels vary in quality or kind, levels do not overlap (are discrete)
and are mutually exclusive, group labels or words, described in counts, percentages, and
frequencies
continuous variables - answer✔vary in quantity or amount, numbers along a scale or continuum,
could theoretically take on any value, described with averages and standard deviations
qualitative data - answer✔written descriptions, rich details, hard to summarize
quantitative data - answer✔numbers or standardized categories, limited choices, easy to
summarize
variables (general) - answer✔any characteristic or quality that varies, something we measure or
manipulate
associative relationship - answer✔if we haven't manipulated the predictor we are describing an
associative relationship
design guidelines: color - answer✔use gradients or at least colors on same side of color wheel
use color to emphasize important data
dont use mulitple colors to represent same kind of data
design details: shadows, hasing, etc - answer✔avoid shadows and 3D effects
Pie chart - answer✔divide circle showing relative proportions of parts of one whole, represents
single categorical variable
Cmn 12y midterm Exam Study Guide.
Data - answer✔a collection of information on a group of units
outcome variable - answer✔the variable were interested in as an effect or result, also known as
dependent variable
things that are fixed characteristics are unlikely to be outcomes
predictor variable - answer✔interested in as a cause also known as independent variable
categorical variable - answer✔levels vary in quality or kind, levels do not overlap (are discrete)
and are mutually exclusive, group labels or words, described in counts, percentages, and
frequencies
continuous variables - answer✔vary in quantity or amount, numbers along a scale or continuum,
could theoretically take on any value, described with averages and standard deviations
qualitative data - answer✔written descriptions, rich details, hard to summarize
quantitative data - answer✔numbers or standardized categories, limited choices, easy to
summarize
variables (general) - answer✔any characteristic or quality that varies, something we measure or
manipulate
associative relationship - answer✔if we haven't manipulated the predictor we are describing an
associative relationship
design guidelines: color - answer✔use gradients or at least colors on same side of color wheel
use color to emphasize important data
dont use mulitple colors to represent same kind of data
design details: shadows, hasing, etc - answer✔avoid shadows and 3D effects
Pie chart - answer✔divide circle showing relative proportions of parts of one whole, represents
single categorical variable
