Population Sample Bias

1. A sample in which every person, object, or event has an equal chance of being selected.

• A. Random sample.
• B. Biased sample.

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

2. When a sample does not accurately represent the population it is a:

• A. Unbiased sample
• B. Biased sample

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

3. A public library asked every 10th person who entered to name the type of book they were getting.

• A. Biased
• B. Unbiased

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

4.  Carlos wants to know the favorite sport of people at his school so he asks his baseball team.

• A. Biased
• B. Unbiased

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

5.  A hospital wants to open a gym. They ask the night-shift ER staff when they would use the gym.

• Biased
• Unbiased

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

6. Ana wants to know the average student’s opinion of the tardy policy at her school. Which group of students should she survey in order to achieve the most accurate results?

• A. Thirty randomly selected students from her school
• B. Thirty students who are rarely tardy
• thirty of her friends

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

A state fair had 1,019,887 people in attendance. The fair committee performed a survey. The question was, “What do fairgoers enjoy most about the fair?” Of those who responded, 83% reported eating traditional foods. Which group of people represents the sample group?

• Fair goers who like traditional foods
• The fair committee
• Fair goers who responded to the survey
• All fair goers

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

_______ is the entire group of objects or individuals considered for a survey.

• Sample
• Population
• Random Sample
• Quartile

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Elise, a supermarket employee, approached 50 random customers and asked whether they would be willing to discuss what they like most about the store. She interviewed the 22 who said yes. Is this sample of the supermarket's customers likely to be biased?

• yes

• no

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Why do we randomly select our samples?

• for control
• reduce bias
• so we don't get the same answers from everyone
• to eliminate confounding results

Tags

CCSS.HSS.IC.B.3