t-test with scipy.stats in Data Analysis Python - Mini Project: Build & Apply

Performing a t-test with scipy.stats

📖 Scenario: You are a data analyst working with two groups of students. You want to check if their test scores are different on average.

🎯 Goal: Build a small program to perform a t-test using scipy.stats to compare two groups of scores.

📋 What You'll Learn

Create two lists of test scores named group1_scores and group2_scores with exact values

Import the ttest_ind function from scipy.stats

Use ttest_ind to calculate the t-test statistic and p-value

Print the t-test statistic and p-value

💡 Why This Matters

🌍 Real World

T-tests are used in many fields like education, medicine, and business to compare two groups and see if they differ in some measurement.

💼 Career

Data analysts and scientists use t-tests to support decisions by testing hypotheses about group differences.

1

Create two lists of test scores

Create a list called group1_scores with these exact values: 85, 90, 78, 92, 88. Also create a list called group2_scores with these exact values: 80, 85, 79, 88, 84.

Data Analysis Python

# Create the two lists of scores
# Your code here

Hint

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

2

Import the ttest_ind function

Import the function ttest_ind from the module scipy.stats.

Data Analysis Python

group1_scores = [85, 90, 78, 92, 88]
group2_scores = [80, 85, 79, 88, 84]

# Import ttest_ind from scipy.stats
# Your code here

Hint

Use the syntax from scipy.stats import ttest_ind.

3

Calculate the t-test statistic and p-value

Use the function ttest_ind with group1_scores and group2_scores as arguments. Save the result in a variable called t_statistic and p_value by unpacking the returned tuple.

Data Analysis Python

from scipy.stats import ttest_ind

group1_scores = [85, 90, 78, 92, 88]
group2_scores = [80, 85, 79, 88, 84]

# Calculate t_statistic and p_value using ttest_ind
# Your code here

Hint

Call ttest_ind(group1_scores, group2_scores) and unpack the result into t_statistic and p_value.

4

Print the t-test results

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

Data Analysis Python

from scipy.stats import ttest_ind

group1_scores = [85, 90, 78, 92, 88]
group2_scores = [80, 85, 79, 88, 84]

t_statistic, p_value = ttest_ind(group1_scores, group2_scores)

# Print t_statistic and p_value
# Your code here

Hint

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