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📚 Python for Introductory Statistics: Lab Workbook
Chapters ▾
1. Introduction to Python2. Python List3. Python Syntax4. Python Loops5. Frequency Distributions and Graphs6. Measure of Center and Variation7. Measures of Position8 Discrete Probability Distributions9. Continuous Probability DistributionConfidence Intervals11. Hypothesis Testing12. Linear Regression and Correlation13. Analysis of Categorical Data14. Advanced Statistics TopicsLab AnswersReferencesAppendix 1Appendix 2: Random Integer GeneratorAppendix 3: FactorialsResources

14.6 ANOVA

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One-way ANOVA

Lab 14.6.1

The data set below (URL) contains the students test1_score, gender, level, section etc.

  1. Write a Python code to read the data set and display the first and last five rows.
  2. Write a Python code to find test3_score means, std and size for each level
  3. Write a Python code to perform ANOVA to test if there is sufficient evidence to indicate a difference in the averages of test1_scores among the three levels (low, medium, high). Use 10% level of significance.

my_csv_file.csv

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Two-way ANOVA (Block Design)

Lab 14.6.2

The data set below (URL) contains students test1_score, gender, level, section etc.

  1. Write a Python code to read the dataset and display the first five rows.
  2. Write a program to find test3_score means grouped by level and gender.
  3. Write a Python code to perform ANOVA block design to test if there is sufficient evidence to indicate a difference in the averages of test3_score among the three levels (low, medium, high) using gender as blocks. Use 10% level of significance.

my_csv_file.csv

view answer

Two-Factor ANOVA (Interactions)

Lab 14.6.3

The dataset below (URL) contains students test1_score, gender, level, section etc.

  1. Write a Python code to read the dataset and display the first 5 rows.
  2. Write a Python code to display the means grouped by level and interaction for test3_score.
  3. Write a Python code to perform a two-factor ANOVA with level and section. Do the data provide sufficient evidence to indicate an interaction between level and section? Use 10% level of significance.

my_csv_file.csv

view answer

Adapted from Python for Introductory Statistics: Student's Lab Workbook, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.