Biased Sampling

Front

What is biased sampling?

Back

Biased sampling occurs when the sample selected for a survey or study does not accurately represent the larger population, leading to skewed results.

Front

What is an unbiased sample?

Back

An unbiased sample is one that accurately reflects the characteristics of the larger population, allowing for valid conclusions to be drawn.

Front

Why is the senator's survey to 1000 registered voters in her party considered biased?

Back

It is biased because it only includes voters from her party, not the entire population of registered voters.

Front

What is an example of a biased sample in a restaurant survey?

Back

Surveying every tenth person entering a Chinese restaurant is biased because it only includes customers of that specific restaurant, not the general population.

Front

How can observing patients in an emergency room lead to biased conclusions?

Back

Observing patients at the same hospital during a specific time may not represent all types of injuries, especially if the observation is limited to summer afternoons.

Front

Why is asking night-shift ER staff about gym usage considered biased?

Back

It is biased because it only reflects the opinions of a specific group (night-shift staff) rather than the entire hospital staff.

Front

What is the flaw in Carlos asking only his baseball team about their favorite sport?

Back

It is biased because it does not include the preferences of the entire student body, only a specific group.

Front

What is the importance of random sampling?

Back

Random sampling helps ensure that every individual in a population has an equal chance of being selected, reducing bias.

Front

What is a convenience sample?

Back

A convenience sample is a type of biased sample where participants are selected based on their easy availability rather than random selection.

Front

How does sample size affect bias?

Back

A larger sample size can reduce the impact of bias, but if the sample is not representative, bias can still occur regardless of size.