Chi-Square Goodness of Fit Test Visualization

This example demonstrates how to conduct a Chi-Square Goodness of Fit Test by constructing a visual comparison between observed and expected frequencies, showing the statistical process of hypothesis testing. Key mathematical concepts include chi-square statistic, degrees of freedom, significance level, and p-value calculation. Construction points: Use bar charts to display categorical data distribution, employ sliders to dynamically adjust expected proportions, observe how the chi-square value changes and affects test conclusions. Suitable for high school and university statistics courses, helping learners understand hypothesis testing fundamentals, master the steps of goodness of fit testing, and develop data analysis and statistical inference skills.