t-test (ttest_ind, ttest_rel) in SciPy - Mini Project: Build & Apply

Performing Independent and Paired t-tests with SciPy

📖 Scenario: You are a data analyst working with a health study team. They collected two sets of data:Step 1: Blood pressure readings from two different groups of patients (Group A and Group B).Step 2: Blood pressure readings from the same patients before and after a treatment.Your job is to use t-tests to find out if there are significant differences between these groups.

🎯 Goal: Build a Python program that:Creates two lists of blood pressure readings for Group A and Group B.Creates two lists of blood pressure readings for the same patients before and after treatment.Uses ttest_ind to compare Group A and Group B.Uses ttest_rel to compare before and after treatment readings.Prints the t-test statistics and p-values for both tests.

📋 What You'll Learn

Create lists with exact blood pressure values for Group A and Group B.

Create lists with exact blood pressure values for before and after treatment.

Import ttest_ind and ttest_rel from scipy.stats.

Use ttest_ind with Group A and Group B lists.

Use ttest_rel with before and after treatment lists.

Print the t-statistic and p-value for both tests.

💡 Why This Matters

🌍 Real World

T-tests are used in health studies, marketing, and social sciences to compare groups and measure effects of treatments or changes.

💼 Career

Data analysts and scientists use t-tests to validate hypotheses and support decision-making with data.

1

Create blood pressure data lists for two groups

Create two lists called group_a and group_b with these exact blood pressure readings: group_a = [120, 122, 119, 130, 128] and group_b = [115, 117, 113, 120, 118].

SciPy

# Create the blood pressure lists for Group A and Group B
# Your code here

Need a hint?

Use square brackets to create lists with the exact numbers given.

2

Create blood pressure data lists for before and after treatment

Create two lists called before_treatment and after_treatment with these exact blood pressure readings: before_treatment = [130, 128, 135, 140, 138] and after_treatment = [125, 123, 130, 135, 132].

SciPy

group_a = [120, 122, 119, 130, 128]
group_b = [115, 117, 113, 120, 118]
# Create the blood pressure lists for before and after treatment
# Your code here

Need a hint?

Use the exact variable names and values given to create the lists.

3

Import t-test functions and perform tests

Import ttest_ind and ttest_rel from scipy.stats. Then create two variables: independent_test to store the result of ttest_ind(group_a, group_b) and paired_test to store the result of ttest_rel(before_treatment, after_treatment).

SciPy

group_a = [120, 122, 119, 130, 128]
group_b = [115, 117, 113, 120, 118]
before_treatment = [130, 128, 135, 140, 138]
after_treatment = [125, 123, 130, 135, 132]

# Import ttest_ind and ttest_rel from scipy.stats
# Perform independent t-test and paired t-test
# Your code here

Need a hint?

Use the exact import statement and function calls as shown.

4

Print the t-test results

Print the t-statistic and p-value from independent_test and paired_test using these exact print statements:
print(f"Independent t-test: t = {independent_test.statistic:.3f}, p = {independent_test.pvalue:.3f}")
print(f"Paired t-test: t = {paired_test.statistic:.3f}, p = {paired_test.pvalue:.3f}")

SciPy

from scipy.stats import ttest_ind, ttest_rel

group_a = [120, 122, 119, 130, 128]
group_b = [115, 117, 113, 120, 118]
before_treatment = [130, 128, 135, 140, 138]
after_treatment = [125, 123, 130, 135, 132]

independent_test = ttest_ind(group_a, group_b)
paired_test = ttest_rel(before_treatment, after_treatment)

# Print the t-statistic and p-value for both tests
# Your code here

Need a hint?

Use f-strings to format the output with 3 decimal places as shown.