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GitHub / CS-LEE2022 / Test_a_Perceptual_Phenomenon

Use descriptive statistics to describe qualities of a sample, set up a hypothesis test, make inferences from a sample, and draw conclusions based on the results.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CS-LEE2022%2FTest_a_Perceptual_Phenomenon
PURL: pkg:github/CS-LEE2022/Test_a_Perceptual_Phenomenon

Stars: 1
Forks: 0
Open issues: 0

License: mit
Language: HTML
Size: 1.13 MB
Dependencies parsed at: Pending

Created at: almost 7 years ago
Updated at: over 6 years ago
Pushed at: over 6 years ago
Last synced at: about 2 years ago

Topics: alternative-hypothesis, congruent, csv, data-science, data-visualization, descriptive-statistics, incongruent, inferential-statistics, matplotlib, null-hypothesis, numpy, pandas, perceptual-phenomenon, stroop-effect, t-score, type1-error, udacity-data-analyst-nanodegree, z-score

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