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SciPydata~30 mins

ANOVA (f_oneway) in SciPy - Mini Project: Build & Apply

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Comparing Group Means Using ANOVA with f_oneway
📖 Scenario: You are a data analyst at a company that wants to understand if three different training programs lead to different average test scores among employees.
🎯 Goal: Build a simple Python program that uses the scipy.stats.f_oneway function to perform a one-way ANOVA test on the test scores from the three training groups.
📋 What You'll Learn
Create three lists named group1, group2, and group3 with exact test score values
Create a variable alpha to set the significance level
Use scipy.stats.f_oneway with the three groups to perform ANOVA
Print the F-statistic and p-value clearly
💡 Why This Matters
🌍 Real World
ANOVA helps compare multiple groups to see if their averages differ, useful in business, medicine, and social sciences.
💼 Career
Data analysts and scientists use ANOVA to test hypotheses about group differences in experiments and surveys.
Progress0 / 4 steps
1
Create the test score data for three groups
Create three lists called group1, group2, and group3 with these exact test scores: group1 = [85, 88, 90, 85, 87], group2 = [78, 75, 80, 79, 77], group3 = [92, 95, 94, 96, 93].
SciPy
Need a hint?

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

2
Set the significance level for the ANOVA test
Create a variable called alpha and set it to 0.05 to represent the significance level.
SciPy
Need a hint?

Use a simple assignment to create alpha with the value 0.05.

3
Perform the ANOVA test using scipy.stats.f_oneway
Import f_oneway from scipy.stats and use it with group1, group2, and group3 to get the F-statistic and p-value. Store the results in variables f_statistic and p_value.
SciPy
Need a hint?

Use from scipy.stats import f_oneway and then call f_oneway(group1, group2, group3).

4
Print the ANOVA test results
Print the F-statistic and p-value using print statements with clear labels.
SciPy
Need a hint?

Use print(f"F-statistic: {f_statistic}") and print(f"p-value: {p_value}").