Complete the code by dragging and dropping the correct functions
A/B Testing Quiz
Topics: Data Science
Category: code completion
Question:
Complete the code below
Instructions:
Drag and drop or rearrange the boxes to complete the task
old_conversions
new_conversions
new_visits
seed(42)
(500, 1000, size=7)
np.random.randint
old_visits
import numpy as np
# Set random seed for reproducibility
np.random.
# Generate data for the old layout
old_visits = (500, 1000, size=7)
old_conversions = np.random.randint(50, 100, size=7)
# Generate data for the new layout
new_visits = np.random.randint
new_conversions = np.random.randint(60, 110, size=7)
# Calculate conversion rates
old_conversion_rates = /
new_conversion_rates = /
print("Old Conversion Rates",old_conversion_rates)
print("NEW Conversion Rates",new_conversion_rates)
Output:
Old Conversion Rates [0.11627907 0.09411765 0.08018868 0.09350649 0.0990099 0.10507881 0.10610465]
Old Conversion Rates [0.06995413 0.13856427 0.11990687 0.13671275 0.15396825 0.09399076 0.0990099 ]ANCOVA: Analysis of Covariance with python
ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.
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A/B Testing Quiz
Complete the code by dragging and dropping the correct functions
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