Category: code completion

Question:
Complete the code below

Instructions:

Drag and drop or rearrange the boxes to complete the task

ttest_ind
Fail to reject the null hypothesis
Reject the null hypothesis
0.05
p_value
numpy
version_b


import 
      
 as np
from scipy.stats import 
      


# Conversion rates for Version A and Version B
version_a = np.array([0, 1, 1, 0, 1, 0, 0, 0, 1, 0])

      
 = np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])

# Perform t-test
t_statistic, 
      
 = ttest_ind(version_a, version_b)

# Print results
print("T-Statistic:", t_statistic)
print("P-Value:", p_value)

# Interpret the results
alpha = 
      
  # significance level
if p_value < alpha:
    print("
      
. Versions have siginificantly different conversion rates.")
else:
    print("
      
. Conversion rates are not significantly different.")

Output:

T-Statistic: -3.674234614174767
P-Value: 0.0017354295899317653
Reject the null hypothesis. Versions have different conversion rates.