Random Sampling and Data Representation

The video tutorial introduces the concept of random sampling, emphasizing its importance in achieving equal representation of a target population. It discusses the issue of sample bias, including cognitive and response biases, and how they can skew data. The tutorial then explains how equal representation can be achieved through random sampling and demonstrates three methods for selecting a random sample, focusing on using spreadsheets to generate random numbers efficiently.

What is a potential issue when collecting data from a specific location like a bus stop?

• It ensures diverse data collection.

• It eliminates all forms of bias.

• It introduces sample bias.

• It guarantees equal representation.

How can equal representation be achieved in sampling?

• By selecting samples based on convenience.

• By selecting samples based on personal preference.

• By randomly selecting samples.

• By choosing samples from a single location.

What is a key benefit of using random sampling?

• It guarantees data accuracy.

• It reduces the time needed for data collection.

• It ensures equal representation of the population.

• It eliminates the need for data analysis.

What is the main goal of using random sampling in research?

• To collect data from a specific group.

• To ensure a diverse and representative sample.

• To focus on a particular characteristic.

• To simplify the data collection process.

What is the first step in selecting a random sample?

• Selecting samples from a pre-defined list.

• Choosing samples based on their characteristics.

• Assigning numbers randomly to the target population.

• Interviewing people at random locations.

What is the purpose of assigning numbers to the target population in random sampling?

• To ensure they are all included in the sample.

• To facilitate random selection.

• To categorize them based on characteristics.

• To prioritize certain individuals over others.

Why are spreadsheets useful for generating random samples?

• They require manual input for each random number.

• They are not suitable for random sampling.

• They can calculate random numbers quickly.

• They are only useful for storing data.

What is a common mistake humans make when trying to generate random numbers?

• They forget to include all possible numbers.

• They always pick the same number.

• They often choose numbers that are too high.

• They tend to select numbers that are not truly random.

What function is used in spreadsheets to generate a random number between two values?

• COUNT

• SUM

• AVERAGE

• RANDBETWEEN

How does the 'RANDBETWEEN' function in spreadsheets work?

• It generates a random number between two specified values.

• It calculates the average of two numbers.

• It sums up a range of numbers.

• It counts the number of entries in a list.