Pearson correlation in SciPy - Mini Project: Build & Apply

Calculate Pearson Correlation with SciPy

📖 Scenario: You are analyzing how two sets of exam scores relate to each other. You want to find out if students who score high in one exam also score high in the other.

🎯 Goal: Calculate the Pearson correlation coefficient between two lists of exam scores using the scipy.stats library.

📋 What You'll Learn

Create two lists called exam1_scores and exam2_scores with exact values

Import the pearsonr function from scipy.stats

Use pearsonr to calculate the correlation coefficient between the two lists

Print the Pearson correlation coefficient value

💡 Why This Matters

🌍 Real World

Pearson correlation is used in many fields like education, health, and business to find relationships between two variables, such as test scores or sales numbers.

💼 Career

Data scientists and analysts use Pearson correlation to explore data and find meaningful patterns that help in decision making.

1

Create exam score lists

Create two lists called exam1_scores and exam2_scores with these exact values: exam1_scores = [85, 90, 78, 92, 88] and exam2_scores = [80, 95, 75, 90, 85].

SciPy

# Create the two lists with the exact scores
# Your code here

Need a hint?

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

2

Import pearsonr function

Import the pearsonr function from the scipy.stats module.

SciPy

exam1_scores = [85, 90, 78, 92, 88]
exam2_scores = [80, 95, 75, 90, 85]

# Import pearsonr from scipy.stats
# Your code here

Need a hint?

Use the syntax from scipy.stats import pearsonr to import the function.

3

Calculate Pearson correlation

Use the pearsonr function with exam1_scores and exam2_scores as arguments. Store the first returned value (correlation coefficient) in a variable called correlation.

SciPy

from scipy.stats import pearsonr

exam1_scores = [85, 90, 78, 92, 88]
exam2_scores = [80, 95, 75, 90, 85]

# Calculate Pearson correlation coefficient
# Your code here

Need a hint?

The pearsonr function returns two values: correlation and p-value. Use correlation, _ = pearsonr(...) to get only the correlation.

4

Print the Pearson correlation coefficient

Print the value of the variable correlation.

SciPy

from scipy.stats import pearsonr

exam1_scores = [85, 90, 78, 92, 88]
exam2_scores = [80, 95, 75, 90, 85]

correlation, _ = pearsonr(exam1_scores, exam2_scores)

# Print the correlation coefficient
# Your code here

Need a hint?

Use print(correlation) to display the result.