Statistical Analysis Exercise

What you'll learn

In this activity, you will:

• Import and use statistical packages (NumPy and SciPy)
• Calculate mean, median, and mode for datasets
• Work with real data (age and height measurements)
• Practice using Python methods for statistical analysis

:computer: Coding Activity

Estimated time: 20-25 minutes

Getting Started

1. Click the link here to open the Colab Notebook
2. Make a copy of the notebook into your Google Drive (File -> Save a copy in Drive)
3. Write your program using variables named age and height
4. Use print() to display the outcome for each step

Instructions

Step One: Import NumPy Package (2 minutes)

Import the package numpy with the short name np.

import numpy as np

Step 2: Import SciPy Stats (2 minutes)

Import stats function from package scipy.

from scipy import stats

Step 3: Create Data Lists (5 minutes)

Create lists for age and height with the following values:

age = [13,14,15,15,16,15,17]
height = [167,165,176,170,167,164]

Print both variables to verify your data:

print("Age =", age)
print("Height =", height)

Expected output:

Age = [13, 14, 15, 15, 16, 15, 17]
Height = [167, 165, 176, 170, 167, 164]

:bulb: Make sure your list values match exactly! Double-check the numbers before proceeding.

Step 4: Calculate Mean (4 minutes)

Find the mean for each variable using the mean() method:

1. Calculate the mean using np.mean()
2. Round to 2 decimal places using round()
3. Print the results

Expected result:

output

Mean for age: 15.0
Mean for height: 168.17

tip Remember to use np.mean() from NumPy, not Python's built-in functions!

Step 5: Calculate Median (4 minutes)

Find the median for each variable:

1. Use np.median() method
2. Print the results

Expected result:

Median for age: 15.0
Median for height: 167.0

Step 6: Calculate Mode (4 minutes)

Find the mode for each variable:

1. Use stats.mode() method
2. Access the mode value with .mode[0]
3. Print the results

Expected result:

Mode for age: 15
Mode for height: 167

:bulb: Tip The stats.mode() function returns an object. Use .mode[0] to get just the mode value!

Troubleshooting

Common Issues:

• Import Error: Make sure you've imported both numpy and scipy.stats correctly
• List Error: Check that your age list has 7 values and height list has 6 values
• Mode Error: Remember to use .mode[0] to access the mode value from the result object

:emoji: Submission

:information_source: Important: Submit Your Work Before submitting:

1. Review all your code and outputs
2. Make sure all 6 steps are complete
3. Verify your results match the expected outputs
4. Save your Colab notebook

Ready to submit?
:link: Submit your exercise here

Your submission helps track your learning progress!