Imagine you're at a bakery filled with hundreds of delicious cookies. You can't eat them all (though we wish we could!), so you pick a few to taste-test. In the same way, businesses can't survey everyone, so they pick a 'sample' to get an idea. Here's how it's done!

📜 Definition: Breaking down the population into groups with specific characteristics (like chocolate chip or oatmeal raisin) and setting a target for each group.

🌟 Example: In a school of 500 IB students, let's interview 15 boys and 20 girls to know their thoughts on the programme.

Pros

• Can get diverse views from different groups.
• Ensures specific segments are included.

Cons

• Might not be wholly random.
• Setting the wrong quotas can skew results.

📜 Definition: Everyone gets an equal shot! Like putting all names in a hat and pulling some out.

🌟 Example: Picking 50 names from a phone book of 1,000 people. Like when you randomly get picked for a lucky draw!

Pros

• It’s fair and unbiased.
• Represent the population well if the sample size is large enough.

Cons

• May miss out on some specific groups.
• Needs access to the entire population list.