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4.1-grouping-with-pandas-plus-lab
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simple-example-melt-pivot-table.ipynb

title duration creator
Stats Review & Intro to SciPy
1:5
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Lucy Williams
DC

# Stats Review & Intro to SciPy

Week 2 | Lesson 4.1

### LEARNING OBJECTIVES

After this lesson, you will be able to:

• Explain what accuracy is and why it can be a flawed metric some times
• Explain Type 1 and Type 2 errors
• Explain t-testing
• Demonstrate t-testing using scipy

### INSTRUCTOR PREP

Before this lesson, instructors will need to:

• Read in / Review any dataset(s) & starter/solution code
• Generate a brief slide deck

### LESSON GUIDE

TIMING TYPE TOPIC
5 min Introduction Accuracy, Type 1 and Type 2 errors, t-testing
20 min Demo /Guided Practice Accuracy
20 min Demo /Guided Practice Type 1 and Type 2 errors
20 min Demo /Guided Practice t-testing
20 min Independent Practice
5 min Conclusion

## Introduction: Accuracy, Type 1 and Type 2 errors, t-testing (5 mins)

Check: Include 1-2 Knowledge Checks per section

## Demo/Guided Practice: Accuracy (20 mins)

Check: What was that code all about? Etc.

## Demo/Guided Practice: Type 1 and Type 2 errors (20 mins)

Check: What was that code all about? Etc.

## Demo/Guided Practice: t-testing (20 mins)

Check: What was that code all about? Etc.

## Independent Practice: Topic (20 minutes)

Check: Were students able to create the desired deliverable(s)? Did it meet requirements / constraints?