Understanding Statistics and Data Analysis

Cassie Cosgrove introduces a course on statistical thinking, recorded with a live audience. She explains that statistics involves making decisions under uncertainty and uses a fishbowl example to differentiate between data and statistical questions. The course covers both Bayesian and frequentist approaches, encouraging learners to explore further.

What is the main focus of the course introduced by Cassie Cosgrove?

• Data Science

• Statistical Thinking

• Machine Learning

• Mathematical Analysis

How many fish did Cassie mention were in the fishbowl?

• Six

• Four

• Three

• Five

What type of fish did Cassie refer to in her example?

• Betta Fish

• Goldfish

• Guppies

• Tetras

Can goldfish be of different colors according to Cassie?

• No, they are always gold

• Yes, they can be different colors

• Only in rare cases

• It depends on their diet

Why are the initial questions about the fish not considered statistical?

• Because they are hypothetical

• Because they involve too much data

• Because they can be answered with certainty

• Because they are too simple

What is the primary characteristic of statistical questions?

• They are always about fish

• They are based on opinions

• They can be answered with certainty

• They involve uncertainty

How does Cassie define statistics?

• The science of collecting data

• The science of making decisions under uncertainty

• The art of guessing

• The study of numbers

What is a key aspect of Bayesian statisticians according to Cassie?

• They never change their minds

• They rely on fixed data

• They change their minds about actions

• They change their minds about beliefs

What do frequentist statisticians focus on changing?

• Their data

• Their actions

• Their beliefs

• Their methods

Where can students find more information about the course?

• In the description below or on the slides

• In the course textbook

• In the library

• By contacting the instructor