stroop-effect

This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨‍🎓🤘

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.

Using descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology

This repo contains projects developed in Machine Learning Foundation Nanodegree.

Udacity Data Analyst Nanodegree Project : Test a Perceptual Phenomenon (Stroop Effect)

This is a statistical project that is part of the Udacity Machine Learning Nanodegree. Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results

Investigate a classic phenomenon from experimental psychology called the Stroop Effect

Stroop effect test — Classic, Reverse, Mixed and Speed Blitz modes

Statistical Analysis of a Dataset about the Stroop Effect

Contains projects needed to complete Udacity's Data Analyst Nanodegree Program

Hypothesis testing and Statistical Analysis Projects

Udacity's Nanodegree program built in partnership with Kaggle and Mode that aims at training new Data Analysts mastering Python, R, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Udacity Data Analyst Nanodegree project: paired t-test analysis of the Stroop effect using response-time data

Python: Test the hypothesis of Stroop Effect

Statistical Analysis of 'Stroop Effect' - a psychological occurrence

Descriptive statistical analysis of the Stroop Effect

Statistical Analysis of Stroop Effect Experiment