Practical Data Science using Python - Random Variables and Normal Distribution

The video tutorial introduces the concept of random variables, using Usain Bolt's sprint times as an example. It explains the significance of normal distribution, also known as Gaussian distribution, in data science and machine learning. The tutorial further explores the application of the bell curve in performance management and appraisal ratings. Finally, it discusses the use of normal distribution in quality control, particularly in sampling and testing product batches.

What is another name for random variables?

• Deterministic variables

• Stochastic variables

• Predictable variables

• Fixed variables

Which distribution is commonly used in data science and is also known as the Gaussian distribution?

• Uniform distribution

• Exponential distribution

• Normal distribution

• Poisson distribution

What shape does the normal distribution resemble?

• A bell

• A pyramid

• A triangle

• A square

In performance management, what does the bell curve method imply about employee ratings?

• Ratings are randomly assigned

• Most employees are rated at the extremes

• Most employees are rated in the middle

• All employees are rated equally

What is the highest rating in a typical bell curve appraisal system?

• Three

• Two

• One

• Five

In quality control, what is the term for the entire group of items being tested?

• Control group

• Sample

• Subset

• Population

Why is sampling used in quality control instead of testing the entire population?

• To avoid bias

• To test every item

• To ensure accuracy

• To save time and resources