Objective category: Descriptive statistics

Data.DescriptiveStatistics (D.DS.*)

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Group A: Mean and median (MM)
iD.DS.MM.1 - Derive a data series' median, quartiles, and extreme values
iD.DS.MM.2 - Generate a box box and whisker plot to describe a single, continuous variable
iD.DS.MM.3 - Compute measures of relative standing and interpret their values in context (e.g. percentile)
iD.DS.MM.4 - Compute a variable's mean by hand and with a spreadsheet
iD.DS.MM.5 - Deduce the differences in "shape" of a given pair of continuous variables using the relationship between their medians and means

Group B: Standard deviation (SD) and distributions
iD.DS.SD.1 - Define distribution and differentiate it from a bar chart
iD.DS.SD.2 - Compare the histogram of related variables using measures of modality, center, and spread
iD.DS.SD.3 - Compute a variable's standard deviation by hand and with a spreadsheet
iD.DS.SD.4 - Compute the z-score for each observation in a given data series by hand and with a spreadsheet
iD.DS.SD.5 - Apply the empirical rule concerning bell-shaped curves to evaluate the rareness of a given observation. State its limitations.
iD.DS.SD.6 - Perform and document an outlier analysis on a given data series, using each observation's z-score in your determinations

Group C: Culminating (C) exercises
iD.DS.C.1 - Exercise: Leverage descriptive statistical information to reunite jettisoned dataset profiles components
iD.DS.C.2 - Assemble and share polished quantitative variable profile of a variable whose values you generated
iD.DS.C.3 - Compose and share a quantitative variable profile of a variable from a secondary source, such as the Allegheny County property assessment

Create a box-and-whisker plot for three related data series (such as the strips survey with slicer question) by i) computing the following metrics:

Group A: Non-summary stats

codeD.DS.A.1 - Median & quartiles

learning objective(s)

D.DS.A.1: Compute the min, max, mode, median, and quartiles of a single data series by hand (i.e. not using a spreadsheet formula or data summarization tool in a data analysis package)


Connected course content

Descriptive statistics is introduced in DAT-102 with this whole-group, multi-step project of exploring frequency distributions.

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code Group A: Non-summary descriptive stats - Median, quartiles, whiskers, etc.


Group B: Summary/Computed descriptive stats - Mean, & variance


Group C: Frequency distributions

Group D: Adroitly interpreting summary stats - Skewness, outliers



program specification

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