How to Obtain a Random Sample for Surveys

The video tutorial explains the concept of random sampling, emphasizing its importance in obtaining unbiased data. It discusses human bias in random selection and applies the concept to a fitness club scenario. Various methods for achieving random sampling are explored, including drawing names, using random number tables, and employing random number generators on calculators or computers. The tutorial concludes with a summary of these methods, highlighting the need for a complete list of the population and the challenges of locating and surveying selected individuals.

What is a random sample?

• A sample that under-represents certain characteristics

• A sample that includes the entire population

• A sample that over-represents certain characteristics

• A sample where each member has an equal chance of being chosen

Why do humans often fail at selecting random numbers?

• Humans prefer even numbers

• Humans are too random

• Humans are naturally biased

• Humans always pick the number one

What is a major drawback of the drawing names method?

• It requires a computer

• It is time-consuming

• It is not valid

• It is too random

What is an advantage of using poker chips for random sampling?

• They are expensive

• They are easy to lose

• They are colorful

• They are uniform in size

What is a common issue with using a table of random numbers?

• They are not random

• They are hard to find

• They are too predictable

• You may need to discard many numbers

Where is the random number generator usually found on a calculator?

• Under the graphing menu

• Under the settings menu

• Under the probability menu

• Under the arithmetic menu

What should you do if you have repeated numbers in your random sample?

• Ignore them

• Discard them

• Add more numbers

• Keep them in the sample