Data Science case 17: Hypothesis testing for Manufacturing

Scenario

You are a data professional. A bakery production plant has an issue: a manager says two halves of machine_runs are different. As a Data Scientist, you are tasked to solve it.

Question

Run a t-test.

Your task

Read the problem
Write your solution in the editor
Press Check my answer
Deliverable: t-test result
On success it is published as its own portfolio project

Hypothesis testingData ScienceProblem solving

Read the simple theory: Root-cause analysis

Data Science · Problem Solving & Regression — question 17 of 30

Finish all 30 to earn a certificate

1. Choose your dataset

Pick an industry and a size. Your code and results change to match.

IndustrySize

📓 DataPro notebookcase-data-science-17.ipynbFileEditViewRunKernel: Python 3

[md]

Data Science case 17: Hypothesis testing for Manufacturing

Run a t-test.

In [1]:

Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].

python editormachine_runs

Snippets

💡 Explain my whole code, line by line (hover any word in the editor for a tip)

🌈 In short — no coding words

📂 Opens the "machine_runs" table→✅ Shows you the answer

Altogether: this script runs top to bottom, one line at a time, building up the answer step by step.

Start typing to see suggestions. Press Enter to use one. Red marks show the line to fix. Drag a bottom corner horizontally and vertically to resize.

Type your code here ↓Tap or click inside the box to start

✍️ Tap here to type

Dataset & schema

machine_runs

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

run_id	line	units
R1	LineA	120
R2	LineB	80
R3	LineA	150
R4	LineC	60

Manufacturing data only.

attempts: 0

▶ Output terminal

$ Press “Check my answer” — results appear here.

Your next steps

Each item turns green when your answer includes it.

1 left

t-test