Analyzing Survey Data and Preferences

The video tutorial explains how to use data from a random sample to make inferences about a population. It covers the concept of population versus sample data collection and demonstrates how to analyze survey data from a streaming service and a T-shirt color preference survey. The tutorial includes calculating percentages and making true or false inferences based on sample data.

Why is it often impractical to collect data from an entire population?

• It is too expensive.

• It is too time-consuming.

• It is unnecessary.

• All of the above.

What is the main purpose of using a sample in data collection?

• To increase complexity.

• To ensure accuracy.

• To save time and resources.

• To avoid bias.

In the streaming service example, what percentage of the sample preferred cooking shows?

• 10%

• 25%

• 40%

• 50%

Based on the sample, what was the conclusion about sports channel preferences?

• Sports channels are the least preferred.

• Less than 40% prefer sports channels.

• Exactly 40% prefer sports channels.

• More than 40% prefer sports channels.

How many comedy channels should the service offer according to the analysis?

• 20

• 25

• 30

• 27

What was the determined ratio of sports to cooking channels?

• 1:1

• 3:2

• 4:3

• 2:3

In the T-shirt survey, which color had the least preference?

• Tie-dye

• Gray

• Neon

• Navy

What percentage of the T-shirt order should be Navy according to the survey?

• More than 50%

• Exactly 25%

• About 31.6%

• Less than 25%

How many times more tie-dye shirts should be ordered compared to neon shirts?

• 1.5 times

• 3 times

• 2.5 times

• 2 times

What was the total number of people surveyed for T-shirt preferences?

• 395

• 450

• 400

• 350