Mann-Whitney U test in SciPy - Mini Project: Build & Apply

Mann-Whitney U Test with SciPy

📖 Scenario: You are a data analyst working with two groups of patients. You want to check if the two groups have different distributions of recovery times without assuming the data follows a normal distribution.

🎯 Goal: Perform the Mann-Whitney U test using SciPy to compare recovery times between two patient groups and interpret the test result.

📋 What You'll Learn

Create two lists of recovery times for two patient groups

Set a significance level variable

Use SciPy's mannwhitneyu function to perform the test

Print the U statistic and p-value

💡 Why This Matters

🌍 Real World

The Mann-Whitney U test is used in medical research, social sciences, and other fields to compare two groups when data is not normally distributed.

💼 Career

Data analysts and scientists use this test to make decisions about differences between groups without relying on assumptions of normality.

1

Create recovery time data for two patient groups

Create two lists called group1 and group2 with these exact recovery times: group1 = [5, 7, 8, 6, 9] and group2 = [10, 12, 9, 11, 13].

SciPy

# Your code here

Need a hint?

Use square brackets to create lists and separate numbers with commas.

2

Set the significance level

Create a variable called alpha and set it to 0.05 to represent the significance level for the test.

SciPy

group1 = [5, 7, 8, 6, 9]
group2 = [10, 12, 9, 11, 13]
# Your code here

Need a hint?

Use a simple assignment to create the variable alpha.

3

Perform the Mann-Whitney U test

Import mannwhitneyu from scipy.stats and use it to perform the test on group1 and group2. Store the results in variables u_statistic and p_value.

SciPy

group1 = [5, 7, 8, 6, 9]
group2 = [10, 12, 9, 11, 13]
alpha = 0.05
# Your code here

Need a hint?

Use alternative='two-sided' to test for difference in either direction.

4

Print the test results

Print the values of u_statistic and p_value using two separate print statements.

SciPy

from scipy.stats import mannwhitneyu

group1 = [5, 7, 8, 6, 9]
group2 = [10, 12, 9, 11, 13]
alpha = 0.05

u_statistic, p_value = mannwhitneyu(group1, group2, alternative='two-sided')
# Your code here

Need a hint?

Use print(u_statistic) and print(p_value) to show the results.