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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

14.3 Descriptive Statistics (multiple columns)

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Lab 14.3.1

Write a Python code to read the dataset with the url below and find the mean, median, standard deviation, minimum, maximum, 25th and 75th percentiles (descriptive statistics) of all columns in the dataset.

data.csv

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Lab 14.3.2

Write a Python code to read the dataset with url below and find the mean, std, and size of the actual_weight grouped by country_of_origin.

'data.csv'

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Lab 14.3.3

Write a Python code to find the mean, std, size of the actual_weight grouped by country_of_origin and route.

data.csv

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Lab 14.3.4

Write a Python code to display a boxplot of the actual_weigth grouped by country_of_origin.

data.csv

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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.