Find a dataset with a quantitative variable and two subgroups.
Each subgroup has at least 10 measurements.
There are at least 30 total measurements in the dataset.
Policies
Complete all edits in this file so you can show a history of your work and process.
Groups should collaborate using a common shared file and do all work in that file. Each group member should edit using their own Google ID.
Large sections of text that are pasted from elsewhere need to be cited, even if they were pasted from generative AI and later edited and changed. Although these citations may not need to be shared in your final submission, they should still be visible when going through the history of past edits.
Exposition
2.1 Write a couple sentence introduction of your study focus and any motivations for the study.
2.2 Outline your proposed study methodology.
Explain the source of dataset or data collection methods.
Use terminology:
population or sample
sampling method: simple random, stratified, systematic, cluster, or convenience (if any apply)
experimental units
2.3 Describe characteristics of your study variables.
Use terminology:
qualitative (categorical) and quantitative (measurable)
level of measurement: nominal, interval, ordinal, or ratio
discrete and/or continuous
Policy
For each subtask, relate your own personal understanding to add depth and demonstrate your understanding of the material.
Week 3
Revisions
Preparation feedback reviewed
Preparation revisions finalized
Exposition feedback reviewed
Exposition revisions finalized
Findings
3.1 Disclose your dataset
Disclose your dataset. Use one of the methods below.
Create it in Google Sheets and share with pmiller@everettcc.edu with editor permissions. Paste the link into your Study Google Doc.
Paste the raw data into your Study Google Doc as two lists of measurements or a table.
3.2 Calculate descriptive statistics
Label each with proper symbols and contextual descriptions:
N and n
µ or x̄
σ or s
mode(s)
5-number summary
lower fence
upper fence
3.3 Add a graph or visual display.
Include the following labels and features:
A variable name
Side-by-side graphs alongside a common axis with clear labels
Distinguishing and specific subgroup names
Variable units, if applicable
A footnote or title describing the image
Images cropped for best accessibility
Policy
Screenshots from Stapplet are helpful to demonstrate your processes, but I am looking for you to make it your own and add some depth using terminology, notation, and good organization.
Week 4
Revisions
Findings feedback reviewed
Findings revisions finalized
Implications
4.1 Describe relevant and notable traits below for each subgroup. skew or symmetry
presence or absence of outliers
contextualize findings
4.2 Draw specific comparisons between the two subgroups using at least two of the metrics below.
General shape and distribution
Relative standing (quartiles or percentiles)
Central tendency
Variability
Effect of outliers
4.3 Conclusion
What can be learned from the comparisons you drew between the two subgroups in relation to the context or origin of the data that are being studied?
Policies
Provide reasoning using both visual and quantitative information.
Contextualize your findings by stating variable meanings with units and referring back to the intent of the study whenever possible.
State only the facts you have before you. Avoid making assumptions or conjecture.
