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title duration creator
Stats Review & Intro to SciPy
1:5
name city
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?

Conclusion (5 mins)