Chapter 3C Review

​ (a)   of individuals allows inference about the population.

• Random selection
• Random assignment

Tags

CCSS.HSS.IC.B.3

What occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other?

• Undercoverage

• Confounding

• Placebo

• Response Bias

The fact that some subjects in an experiment will respond favorable to any treatment, even an inactive treatment.

• Response Bias

• Nonresponse

• Placebo Effect

• Confounding

Tags

CCSS.HSS.IC.B.3

In this type of experiment, neither the subject nor the facilitator knows which treatment a subject is given.

• Double-blind

• Observational study

• Single-blind

• Control group

In this type of experiment, either the subject or the facilitator knows which treatment a subject is given.

• Control group

• Single-blind

• Observational study

• Double-blind

​ (a)   of individuals to treatments permits inference about the cause and effect.​

• Random selection
• Random assignment

Tags

CCSS.HSS.IC.B.3

When an observed difference in responses between the groups in an experiment is ​ too large to be explained by ​ (a)   in the random assignment, we say that the result is ​ (b)   .

• chance variation
• random selection
• statistically significant
• confounding

Tags

CCSS.7.SP.B.3

A (a)   is used to provide​ (b)   for comparing the effects of other treatments.

• control group
• placebo
• a baseline
• sampling variability

The purpose of (a)   of treatments to subjects in an experiment is to create roughly equivalent groups before treatments are administered.

• random assignment
• random sampling

Tags

CCSS.HSS.IC.B.3

What is the first step in designing a completely randomized experiment?

• Apply treatments to your groups

• Assign subjects to groups

• Randomly select subjects from the population

• Compare results

Tags

CCSS.HSS.IC.B.3