DSRT 734: Calculating Descriptive Statistics for Two Teams in JASP

DSRT 734 Question

Question 2
20 Points

The attached dataset contains the scores for two teams of 60 people.
Use JASP and the attached dataset to calculate the mean, median,
standard deviation, minimum and maximum of the scores for the two teams.

What this question assesses

This assignment assesses data organization and descriptive summary rather than inferential testing. The requested outputs describe center, spread, and range separately for two teams of equal stated size.

How to approach this type of question

The missing dataset is essential because none of the requested statistics can be recovered from the prompt alone. With the file available, first inspect its columns and confirm that one variable identifies team membership and another contains numeric scores. Check that the two team labels are consistent and that numeric cells were not imported as text. In JASP, place the score variable in the descriptive analysis and use the team variable to split the output. Request mean, median, standard deviation, minimum, and maximum. Before copying values, compare each group’s displayed N with the expected 60 and investigate missing or invalid observations rather than silently assuming all rows were analyzed. Read mean and median together for possible asymmetry, use standard deviation for within-team variability, and use the extrema to understand observed range. A quality check should record the imported variable names, analyzed N for each team, requested statistics, and any missing-data handling. This workflow explains what evidence to obtain but cannot reproduce numerical output without the source file.

When reporting the eventual output, keep one row per team and one column per requested statistic so labels cannot drift. Retain reasonable precision rather than copying excessive decimals, and do not compare variability using standard errors when the prompt asks for standard deviations. If a minimum or maximum is surprising, return to the raw row before treating it as valid. The two stated sample sizes provide a validation target, not permission to fabricate missing cases or values.

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