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Data Science for Lingerie Design
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Module 7
Experimental Design for Comparing Lingerie Styles
1
Designing a One-Way ANOVA Experiment
Design a one-way ANOVA experiment to test for significant differences in mean appeal scores across three or more bra styles (e.g., push-up, balconette, plunge).
2
Sample Size Determination Using Power Analysis
Perform a power analysis to determine the minimum sample size (e.g., number of tryouts) required to detect a meaningful difference between styles.
3
ANOVA: Interpreting F-statistic and p-value
Interpret the F-statistic and p-value from an ANOVA table to conclude whether a significant difference exists among the styles.
4
Tukey's HSD for Lingerie Style Comparisons
Conduct and interpret a Tukey's HSD post-hoc test to identify which specific pairs of lingerie styles are significantly different from each other.
5
Two-Way ANOVA for Overall Look Rating
Design a two-way ANOVA to analyze the main effects and interaction effect of two factors (e.g., bra style and bottom style) on overall look rating.
Previous module
Classification Models for Curating Top Picks
Next module
Hypothesis Testing in the Fitting Room