Exploring Biased Sampling Methods

The video discusses biased sampling methods, focusing on voluntary response and convenient samples. It explains how these methods can favor certain outcomes and highlights sources of response bias, such as question design, non-response, and under coverage.

What is a biased sampling method?

• A method that equally favors all outcomes

• A method that systematically favors certain outcomes

• A method that randomly selects participants

• A method that uses only numerical data

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Which of the following is an example of a voluntary response sample?

• A census

• A survey conducted at a workplace

• A random selection of households

• A phone poll where people call in to express their opinion

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Why are voluntary response samples considered biased?

• They include all members of the population

• They exclude people with strong opinions

• They favor outcomes based on who chooses to respond

• They are conducted in public places

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

What is a convenient sample?

• A sample that is conducted online

• A sample where participants are chosen based on convenience

• A sample that includes all possible participants

• A sample that uses complex statistical methods

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Why is a convenient sample considered biased?

• It includes participants from diverse backgrounds

• It only includes people who are easily accessible

• It uses random selection methods

• It is conducted over a long period

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Which of the following is a source of response bias?

• Clear and neutral question design

• Random sampling

• Non-response from selected participants

• High response rate

Tags

CCSS.HSS.IC.B.3

How can the design of a question lead to response bias?

• By being too short

• By including all possible answers

• By being unclear or misleading

• By being clear and concise

Tags

CCSS.RL.11-12.6

What is undercoverage in the context of response bias?

• Including too many participants

• Excluding certain groups from the sample

• Using random sampling methods

• Getting a high response rate

Tags

CCSS.HSS.IC.B.3

What is a common issue even with the United States census?

• It always gets a 100% response rate

• It only includes online responses

• It excludes certain states

• It never gets a 100% response rate

Tags

CCSS.RL.11-12.6

Which of the following is NOT a source of response bias?

• Clear question design

• Misleading question design

• Undercoverage

• Non-response

Tags

CCSS.HSS.IC.B.3