
Overview
In this lesson:
Students will engage in a pre-assessment using Python and Jupyter notebooks.
Given output table for given set of data, interpret the standard deviation in context.
Ex table output:
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Plot table in python (screenshot/code)
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Interpret std for given data set (text box)
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Interpret mean for given data set (text box)
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Change labels (25%, 50%, 75%) to (Q1, median, Q3) within Python code. (screenshot/code)
Underlying Pages
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0. Student Directions -
Preview as Student
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1. Introduction to Python & Jupyter notebooks -
Preview as Student
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2. Engage with data sets in Python -
Preview as Student
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3. Display a descriptive table only with information for counts, mean, and standard deviation for the data set -
Preview as Student
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4. Add the correct quartiles (Q1, Median, Q3) labels to 25%, 50%, 75% listed in the table -
Preview as Student
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5. Plot a boxplot of the data set -
Preview as Student
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6. Plot a histogram of the data set -
Preview as Student
Standards
Computational Thinking in STEM
- Data Practices
- Modeling and Simulation Practices
- Computational Problem Solving Practices