AP STATS Chap 4 Review (Designing Experiments)

Source of bias in which people CHOOSE to respond and usually only people with very strong opinions respond

• Response Bias
• Undercoverage
• Convenience Sampling
• Voluntary Response

Source of bias in which some groups of populations are LEFT OUT of the selection process

• Response Bias
• Undercoverage
• Convenience Sampling
• Voluntary Response

Source of bias that occurs when you ask people who are EASY to ask

• Response Bias
• Convenience Sampling
• Nonresponse
• Voluntary Response

Marianne wanted to know students' opinion on the new schedule at school. She places students' names in a container and randomly picks out 20 names. 

• Convenience Sampling
• Systematic Random Sampling
• Simple Random Sampling
• Volunteer response

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.
She selects the first five who raise their hands.

• Systematic
• Convenience
• Voluntary Response
• Simple Random

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.
She selects the five closest to her desk.

• simple random
• Voluntary Response
• Convenience
• Systematic Random

The teacher samples her class by selecting 5 girls and 7 boys.  This type of sampling is called?

• Stratified
• Systematic
• SRS
• Cluster

The teacher samples her class by selecting all students sitting at group 1 and group 5 in her classroom.  This sampling technique is called?

• SRS
• Stratified
• Systematic
• Cluster

Tags

CCSS.HSS.IC.B.3

To study the amount of time students spend doing homework each day, use a random number generator to select 25 students from the student enrollment database to survey.

• Convenience Sample
• Simple Random Sample
• Stratified Random Sample
• Interval Sample

In order to perform an experiment using a random sample of 60 members of a gym, I first divide the list of members into men and women because I feel that the results will be different based on gender. I then randomly choose 30 men and 30 women. I assign half of the men to the treatment group and half to the control group. I repeat this procedure with the women. This is an example of a:

• randomized design
• blocking design
• stratified sample
• double blind simple random sample